{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7ff1d17aacf8>]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import datetime\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.dates as mdates\n",
    "from dateutil import parser\n",
    "%matplotlib inline\n",
    "\n",
    "df_ferrara = pd.read_csv('WeatherData/ferrara_270615.csv')\n",
    "df_milano = pd.read_csv('WeatherData/milano_270615.csv')\n",
    "df_mantova = pd.read_csv('WeatherData/mantova_270615.csv')\n",
    "df_ravenna = pd.read_csv('WeatherData/ravenna_270615.csv')\n",
    "df_torino = pd.read_csv('WeatherData/torino_270615.csv')\n",
    "df_asti = pd.read_csv('WeatherData/asti_270615.csv')\n",
    "df_bologna = pd.read_csv('WeatherData/bologna_270615.csv')\n",
    "df_piacenza = pd.read_csv('WeatherData/piacenza_270615.csv')\n",
    "df_cesena = pd.read_csv('WeatherData/cesena_270615.csv')\n",
    "df_faenza = pd.read_csv('WeatherData/faenza_270615.csv')\n",
    "\n",
    "# 取出要分析的温度和日期数据\n",
    "y1 = df_milano['temp']\n",
    "x1 = df_milano['day']\n",
    "\n",
    "# 把日期数据转换成 datetime 的格式\n",
    "day_milano = [parser.parse(x) for x in x1]\n",
    "\n",
    "# 调用 subplot 函数, fig 是图像对象，ax 是坐标轴对象\n",
    "fig, ax = plt.subplots()\n",
    "\n",
    "# 调整x轴坐标刻度，使其旋转70度，方便查看\n",
    "plt.xticks(rotation=70)\n",
    "\n",
    "# 设定时间的格式\n",
    "hours = mdates.DateFormatter('%H:%M')\n",
    "\n",
    "# 设定X轴显示的格式\n",
    "ax.xaxis.set_major_formatter(hours)\n",
    "\n",
    "# 画出图像，day_milano是X轴数据，y1是Y轴数据，‘r’代表的是'red' 红色\n",
    "ax.plot(day_milano ,y1, 'r')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7ff1d1709b38>,\n",
       " <matplotlib.lines.Line2D at 0x7ff1d16c17b8>,\n",
       " <matplotlib.lines.Line2D at 0x7ff1d16c1c50>]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 读取温度和日期数据\n",
    "y1 = df_ravenna['temp']\n",
    "x1 = df_ravenna['day']\n",
    "y2 = df_faenza['temp']\n",
    "x2 = df_faenza['day']\n",
    "y3 = df_cesena['temp']\n",
    "x3 = df_cesena['day']\n",
    "y4 = df_milano['temp']\n",
    "x4 = df_milano['day']\n",
    "y5 = df_asti['temp']\n",
    "x5 = df_asti['day']\n",
    "y6 = df_torino['temp']\n",
    "x6 = df_torino['day']\n",
    "\n",
    "# 把日期从 string 类型转化为标准的 datetime 类型\n",
    "day_ravenna = [parser.parse(x) for x in x1]\n",
    "day_faenza = [parser.parse(x) for x in x2]\n",
    "day_cesena = [parser.parse(x) for x in x3]\n",
    "day_milano = [parser.parse(x) for x in x4]\n",
    "day_asti = [parser.parse(x) for x in x5]\n",
    "day_torino = [parser.parse(x) for x in x6]\n",
    "\n",
    "# 调用 subplots() 函数，重新定义 fig, ax 变量\n",
    "fig, ax = plt.subplots()\n",
    "plt.xticks(rotation=70)\n",
    "\n",
    "hours = mdates.DateFormatter('%H:%M')\n",
    "ax.xaxis.set_major_formatter(hours)\n",
    "\n",
    "#这里需要画出三根线，所以需要三组参数， 'g'代表'green'\n",
    "ax.plot(day_ravenna,y1,'r',day_faenza,y2,'r',day_cesena,y3,'r')\n",
    "ax.plot(day_milano,y4,'g',day_asti,y5,'g',day_torino,y6,'g')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "# dist 是一个装城市距离海边距离的列表\n",
    "dist = [df_ravenna['dist'][0],\n",
    "    df_cesena['dist'][0],\n",
    "    df_faenza['dist'][0],\n",
    "    df_ferrara['dist'][0],\n",
    "    df_bologna['dist'][0],\n",
    "    df_mantova['dist'][0],\n",
    "    df_piacenza['dist'][0],\n",
    "    df_milano['dist'][0],\n",
    "    df_asti['dist'][0],\n",
    "    df_torino['dist'][0]\n",
    "]\n",
    "\n",
    "# temp_max 是一个存放每个城市最高温度的列表\n",
    "temp_max = [df_ravenna['temp'].max(),\n",
    "    df_cesena['temp'].max(),\n",
    "    df_faenza['temp'].max(),\n",
    "    df_ferrara['temp'].max(),\n",
    "    df_bologna['temp'].max(),\n",
    "    df_mantova['temp'].max(),\n",
    "    df_piacenza['temp'].max(),\n",
    "    df_milano['temp'].max(),\n",
    "    df_asti['temp'].max(),\n",
    "    df_torino['temp'].max()\n",
    "]\n",
    "\n",
    "# temp_min 是一个存放每个城市最低温度的列表\n",
    "temp_min = [df_ravenna['temp'].min(),\n",
    "    df_cesena['temp'].min(),\n",
    "    df_faenza['temp'].min(),\n",
    "    df_ferrara['temp'].min(),\n",
    "    df_bologna['temp'].min(),\n",
    "    df_mantova['temp'].min(),\n",
    "    df_piacenza['temp'].min(),\n",
    "    df_milano['temp'].min(),\n",
    "    df_asti['temp'].min(),\n",
    "    df_torino['temp'].min()\n",
    "]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7ff1d166f7b8>]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots()\n",
    "ax.plot(dist,temp_max,'ro')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.svm import SVR\n",
    "\n",
    "# dist1是靠近海的城市集合，dist2是远离海洋的城市集合\n",
    "dist1 = dist[0:5]\n",
    "dist2 = dist[5:10]\n",
    "\n",
    "# 改变列表的结构，dist1现在是5个列表的集合\n",
    "# 之后我们会看到 nbumpy 中 reshape() 函数也有同样的作用\n",
    "dist1 = [[x] for x in dist1]\n",
    "dist2 = [[x] for x in dist2]\n",
    "\n",
    "# temp_max1 是 dist1 中城市的对应最高温度\n",
    "temp_max1 = temp_max[0:5]\n",
    "# temp_max2 是 dist2 中城市的对应最高温度\n",
    "temp_max2 = temp_max[5:10]\n",
    "\n",
    "# 我们调用SVR函数，在参数中规定了使用线性的拟合函数\n",
    "# 并且把 C 设为1000来尽量拟合数据（因为不需要精确预测不用担心过拟合）\n",
    "svr_lin1 = SVR(kernel='linear', C=1e3)\n",
    "svr_lin2 = SVR(kernel='linear', C=1e3)\n",
    "\n",
    "# 加入数据，进行拟合\n",
    "svr_lin1.fit(dist1, temp_max1)\n",
    "svr_lin2.fit(dist2, temp_max2)\n",
    "\n",
    "# 关于 reshape 函数请看代码后面的详细讨论\n",
    "xp1 = np.arange(10,100,10).reshape((9,1))\n",
    "xp2 = np.arange(50,400,50).reshape((7,1))\n",
    "yp1 = svr_lin1.predict(xp1)\n",
    "yp2 = svr_lin2.predict(xp2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 限制了 x 轴的取值范围\n",
    "ax.set_xlim(0,400)\n",
    "\n",
    "# 画出图像\n",
    "ax.plot(xp1, yp1, c='b', label='Strong sea effect')\n",
    "ax.plot(xp2, yp2, c='g', label='Light sea effect')\n",
    "\n",
    "fig"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[0.04794118]]\n",
      "[27.65617647]\n",
      "[[0.00401274]]\n",
      "[29.98745223]\n"
     ]
    }
   ],
   "source": [
    "print(svr_lin1.coef_)  #斜率\n",
    "print(svr_lin1.intercept_)  # 截距\n",
    "print(svr_lin2.coef_)\n",
    "print(svr_lin2.intercept_)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[x,y] = [ 53 , 30 ]\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7ff1c5da44a8>,\n",
       " <matplotlib.lines.Line2D at 0x7ff1c5da4668>,\n",
       " <matplotlib.lines.Line2D at 0x7ff1c5da4e80>]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from scipy.optimize import fsolve\n",
    "\n",
    "# 定义了第一条拟合直线\n",
    "def line1(x):\n",
    "    a1 = svr_lin1.coef_[0][0]\n",
    "    b1 = svr_lin1.intercept_[0]\n",
    "    return a1*x + b1\n",
    "\n",
    "# 定义了第二条拟合直线\n",
    "def line2(x):\n",
    "    a2 = svr_lin2.coef_[0][0]\n",
    "    b2 = svr_lin2.intercept_[0]\n",
    "    return a2*x + b2\n",
    "\n",
    "# 定义了找到两条直线的交点的 x 坐标的函数\n",
    "def findIntersection(fun1,fun2,x0):\n",
    "    return fsolve(lambda x : fun1(x) - fun2(x),x0)\n",
    "\n",
    "result = findIntersection(line1,line2,0.0)\n",
    "print(\"[x,y] = [ %d , %d ]\" % (result,line1(result)))\n",
    "\n",
    "# x = [0,10,20, ..., 300]\n",
    "x = np.linspace(0,300,31)\n",
    "plt.plot(x,line1(x),x,line2(x),result,line1(result),'ro')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7ff1d165ad68>]"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXoAAAD8CAYAAAB5Pm/hAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvhp/UCwAAD9ZJREFUeJzt3X2MpWV9xvHvhbxYulSEHS2BXQaMtlBjgI6GlFYtthapEZvYRLO1m9R0U2sbsBoFSXz5YxNrW2xNmpqtUGg79RWsxtRUorTGP1i7iwssXRGsC0U27hKi0JBqKb/+cZ6VYTqzZ+bMeZt7vp9kMufc55w8V+6dc83z3M9zdlJVSJLaddykA0iSRsuil6TGWfSS1DiLXpIaZ9FLUuMseklqnEUvSY2z6CWpcRa9JDXu+HFubPPmzTU7OzvOTUrSurd3795Hqmpm0NePtehnZ2fZs2fPODcpSetekgfW8nqXbiSpcRa9JDXOopekxln0ktQ4i16SGmfRS1LjLHpJapxFL0mNs+glqXEWvSQ1zqKXpMZZ9JLUOItekhpn0UtS4yx6SWqcRS9Jjetb9Em2JLktyYEk9yS5ctHj70xSSTaPLqYkaVAr+QtTTwLvqKo7kpwC7E1ya1X9e5ItwK8CD440pSRpYH336KvqUFXd0d1+HDgAnNk9/GHgXUCNLKEkaU1WtUafZBa4ENid5HXAd6vqzhHkkiQNyYr/OHiSTcDNwFX0lnOuBV69gtftAHYAbN26dbCUkqSBrWiPPskJ9Ep+vqpuAV4AnAPcmeQgcBZwR5KfXvzaqtpVVXNVNTczMzO85JKkFem7R58kwPXAgaq6DqCq7gaet+A5B4G5qnpkRDklSQNayR79JcCbgUuT7Ou+Lh9xLknSkPTdo6+qrwHp85zZYQWSJA2Xn4yVpMZZ9JLUOItekhpn0UtS4yx6SWqcRS9JjbPoJalxFr0kNc6il6TGWfSS1DiLXpIaZ9FLUuMseklqnEUvSY2z6CWpcRa9JDXOopekxln0ktQ4i16SGmfRS1LjLHpJapxFL0mNs+glqXEWvSQ1zqKXpMZZ9JLUOItekhpn0UtS4yx6SWqcRS9JjbPoJalxFr0kNc6il6TGWfSS1DiLXpIa17fok2xJcluSA0nuSXJlN/4nSb6Z5K4kn01y6ujjSpJWayV79E8C76iq84CLgbclOR+4FXhxVb0E+BZwzehiSpIG1bfoq+pQVd3R3X4cOACcWVVfqqonu6fdDpw1upiSpEGtao0+ySxwIbB70UO/A3xxOJEkScO04qJPsgm4Gbiqqh5bMH4tveWd+WVetyPJniR7jhw5sta8kqRVWlHRJzmBXsnPV9UtC8a3A68FtlVVLfXaqtpVVXNVNTczMzOMzJKkVTi+3xOSBLgeOFBV1y0Yvwx4N/CKqnpidBElSWvRt+iBS4A3A3cn2deNvQf4CHAScGvvdwG3V9XvjSSlJGlgfYu+qr4GZImH/mn4cSRJw+YnYyWpcRa9JDXOopekxln0ktQ4i16SGmfRS1LjLHpJapxFL0mNs+glqXEWvSQ1zqKXpMZZ9JLUOItekhpn0UtS4yx6SWqcRS9JjbPoJalxFr0kNc6il6TGWfSS1DiLXpIaZ9FLUuMseklqnEUvSY2z6CWpcRa9JDXOopekxln0ktQ4i16SGmfRS1LjLHpJapxFL0mNs+glqXEWvSQ1rm/RJ9mS5LYkB5Lck+TKbvy0JLcmua/7/tzRx5UkrdZK9uifBN5RVecBFwNvS3I+cDXw5ap6IfDl7r4kacr0LfqqOlRVd3S3HwcOAGcCVwA3dU+7CXj9qEJKkga3qjX6JLPAhcBu4PlVdQh6vwyA5w07nCRp7VZc9Ek2ATcDV1XVY6t43Y4ke5LsOXLkyCAZJUlrsKKiT3ICvZKfr6pbuuHvJTmje/wM4PBSr62qXVU1V1VzMzMzw8gsSVqFlVx1E+B64EBVXbfgoc8D27vb24HPDT+eJGmtjl/Bcy4B3gzcnWRfN/Ye4IPAp5K8BXgQ+M3RRJQkrUXfoq+qrwFZ5uFXDTeOJGnY/GSsJDXOopekxln0ktQ4i16SGmfRS1LjLHpJapxFL0mNs+glqXEWvSQ1zqKXpMZZ9JLUOItekhpn0UtS4yz6DWp+HmZn4bjjet/n5yedSNKorOT/o1dj5udhxw544one/Qce6N0H2LZtcrkkjYZ79BvQtdc+XfJHPfFEb1zayFo90nWPfgN68MHVjUsbQctHuu7Rb0Bbt65uXNoIWj7S3fBF3+qh2rHs3Aknn/zMsZNP7o1LG1XLR7obuuiPHqo98ABUPX2o1nrZb9sGu3bB2WdD0vu+a9f6PzyV1qLlI91U1dg2Njc3V3v27Bnb9vqZne2V+2Jnnw0HD447jaRJWrxGD70j3WnYCUqyt6rmBn39ht6jb/lQTSuzEZfutLSWj3SbL/pjvZFbPlRTfxt16U7L27atdzT/1FO97y2UPDRe9P3eyJ6U3NhavspCWqjpou/3Rm75UE39uXSnjaLpD0yt5I28bZvFvlFt3br0yXiX7tSapvfoJ7EG78m99cOlO20UU1n0wyrLcb+RPbm3vrh0p41i6q6jH/a1rPPzvTX5Bx/s7cnv3Dm6N7LX5Usaheauox/2lRDjvFzKk3saFZcEtRZTV/TruSy9Ll+j4JKg1mriRb94T+W005Z+3nooS0/uaRS83l9rNdGiX2pP5bHH4MQTn/m89VKWntzTKKzno1xNh4mejF3u5OXpp8OmTeM5gSpNO0/ya60nYyf6ganl9kgefRQeeWS8WaRptXPn0leirYejXE2Hvks3SW5IcjjJ/gVjFyS5Pcm+JHuSvGyQjXvyUuqv9SVBrygavZWs0d8IXLZo7EPAB6rqAuC93f1V8+SltDKt/q+KXlE0Hn2Lvqq+Cjy6eBj4qe72c4CHB9l463sqko7NK4rGY0UnY5PMAl+oqhd3988D/hkIvV8Wv1BVS5wueqZp+wtTkibruON6e/KLJb2jF/VM6pOxbwXeXlVbgLcD1y/3xCQ7unX8PUeOHBlwc5Ja5Hm68Ri06LcDt3S3Pw0sezK2qnZV1VxVzc3MzAy4OUkt8jzdeAxa9A8Dr+huXwrcN5w4kjYSz9ONR9/r6JN8HHglsDnJQ8D7gN8F/iLJ8cB/AztGGVJSu/zjP6PXt+ir6k3LPPTzQ84iSRqBif+nZpKk0bLoJalxFr0kNc6il6TGWfSS1DiLXpIaZ9FLUuMseklqnEUvSY2z6CWpcRa9JDXOopekxln0ktQ4i16SGmfRS1LjLHpJapxFL0mNs+glqXEWvSQ1zqKXpMZZ9JLUOItekhpn0UtS4yx6SWqcRS9JjbPoJalxFr0kNc6il6TGWfSS1DiLXpIaZ9FLUuMseklqnEUvSY2z6CWpcX2LPskNSQ4n2b9o/A+T3JvkniQfGl1ESdJarGSP/kbgsoUDSX4ZuAJ4SVX9HPCnw48mSRqGvkVfVV8FHl00/Fbgg1X1w+45h0eQTZI0BIOu0b8I+KUku5P8a5KXDjOUJGl4jl/D654LXAy8FPhUknOrqhY/MckOYAfA1q1bB80pSRrQoHv0DwG3VM/XgaeAzUs9sap2VdVcVc3NzMwMmlOSNKBBi/4fgUsBkrwIOBF4ZFihJEnD03fpJsnHgVcCm5M8BLwPuAG4obvk8kfA9qWWbSRJk9e36KvqTcs89FtDziJJGgE/GStJjbPoJalxFr0kNc6il6TGWfSS1DiLXpIaZ9FLUuMseklqnEUvSY2z6CWpcRa9JDXOopekxln0ktQ4i16SGmfRS1LjLHpJapxFL0mNyzj/AmCSx4F7x7bBwW1mffwNXHMOz3rICOYctvWS82eq6pRBX9z3TwkO2b1VNTfmba5akj3mHJ71kHM9ZARzDtt6yrmW17t0I0mNs+glqXHjLvpdY97eoMw5XOsh53rICOYctg2Rc6wnYyVJ4+fSjSQ1bixFn+SyJPcmuT/J1ePY5kolOZjk7iT7jp7ZTnJakluT3Nd9f+4Ect2Q5HCS/QvGlsyVno9083tXkosmnPP9Sb7bzem+JJcveOyaLue9SX5tjDm3JLktyYEk9yS5shufmjk9Rsapms8kz07y9SR3djk/0I2fk2R3N5efTHJiN35Sd//+7vHZCee8Mcl3FsznBd34xN5H3fafleQbSb7Q3R/efFbVSL+AZwHfBs4FTgTuBM4f9XZXke8gsHnR2IeAq7vbVwN/PIFcLwcuAvb3ywVcDnwRCHAxsHvCOd8PvHOJ557f/fufBJzT/Vw8a0w5zwAu6m6fAnyryzM1c3qMjFM1n92cbOpunwDs7uboU8Abu/GPAm/tbv8+8NHu9huBT47p33y5nDcCb1ji+RN7H3Xb/yPgH4AvdPeHNp/j2KN/GXB/Vf1HVf0I+ARwxRi2uxZXADd1t28CXj/uAFX1VeDRRcPL5boC+NvquR04NckZE8y5nCuAT1TVD6vqO8D99H4+Rq6qDlXVHd3tx4EDwJlM0ZweI+NyJjKf3Zz8V3f3hO6rgEuBz3Tji+fy6Bx/BnhVkkww53Im9j5Kchbw68DHuvthiPM5jqI/E/jPBfcf4tg/vONWwJeS7E2yoxt7flUdgt6bD3jexNI903K5pnGO/6A7/L1hwdLXVOTsDnUvpLeHN5VzuigjTNl8dssM+4DDwK30jia+X1VPLpHlxzm7x38AnD6JnFV1dD53dvP54SQnLc7ZGee/+Z8D7wKe6u6fzhDncxxFv9Rvmmm61OeSqroIeA3wtiQvn3SgAUzbHP8V8ALgAuAQ8Gfd+MRzJtkE3AxcVVWPHeupS4yNJesSGaduPqvqf6vqAuAsekcR5x0jy9TkTPJi4BrgZ4GXAqcB755kziSvBQ5X1d6Fw8fIsuqc4yj6h4AtC+6fBTw8hu2uSFU93H0/DHyW3g/t944esnXfD08u4TMsl2uq5riqvte9wZ4C/pqnlxMmmjPJCfQKdL6qbumGp2pOl8o4rfPZZfs+8C/01rRPTXL0v1VZmOXHObvHn8PKl/uGnfOybomsquqHwN8w+fm8BHhdkoP0lrYvpbeHP7T5HEfR/xvwwu4M8on0Th58fgzb7SvJTyY55eht4NXAfnr5tndP2w58bjIJ/5/lcn0e+O3uqoGLgR8cXY6YhEXrmr9Bb06hl/ON3VUD5wAvBL4+pkwBrgcOVNV1Cx6amjldLuO0zWeSmSSndrd/AvgVeucTbgPe0D1t8VweneM3AF+p7kziBHJ+c8Ev9tBb9144n2N/H1XVNVV1VlXN0uvHr1TVNoY5n2M6m3w5vSsIvg1cO45trjDXufSuWrgTuOdoNnrrXV8G7uu+nzaBbB+nd5j+P/R+g79luVz0DuX+spvfu4G5Cef8uy7HXd0P5RkLnn9tl/Ne4DVjzPmL9A5v7wL2dV+XT9OcHiPjVM0n8BLgG12e/cB7u/Fz6f2iuR/4NHBSN/7s7v793ePnTjjnV7r53A/8PU9fmTOx99GCzK/k6atuhjaffjJWkhrnJ2MlqXEWvSQ1zqKXpMZZ9JLUOItekhpn0UtS4yx6SWqcRS9Jjfs/OtTirDWDNBwAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# axis 函数规定了 x 轴和 y 轴的取值范围\n",
    "plt.axis((0,400,15,25))\n",
    "plt.plot(dist,temp_min,'bo')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7ff1c5cd7da0>,\n",
       " <matplotlib.lines.Line2D at 0x7ff1c5c818d0>,\n",
       " <matplotlib.lines.Line2D at 0x7ff1c5c81cf8>]"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 读取湿度数据\n",
    "y1 = df_ravenna['humidity']\n",
    "x1 = df_ravenna['day']\n",
    "y2 = df_faenza['humidity']\n",
    "x2 = df_faenza['day']\n",
    "y3 = df_cesena['humidity']\n",
    "x3 = df_cesena['day']\n",
    "y4 = df_milano['humidity']\n",
    "x4 = df_milano['day']\n",
    "y5 = df_asti['humidity']\n",
    "x5 = df_asti['day']\n",
    "y6 = df_torino['humidity']\n",
    "x6 = df_torino['day']\n",
    "\n",
    "# 重新定义 fig 和 ax 变量\n",
    "fig, ax = plt.subplots()\n",
    "plt.xticks(rotation=70)\n",
    "\n",
    "# 把时间从 string 类型转化为标准的 datetime 类型\n",
    "day_ravenna = [parser.parse(x) for x in x1]\n",
    "day_faenza = [parser.parse(x) for x in x2]\n",
    "day_cesena = [parser.parse(x) for x in x3]\n",
    "day_milano = [parser.parse(x) for x in x4]\n",
    "day_asti = [parser.parse(x) for x in x5]\n",
    "day_torino = [parser.parse(x) for x in x6]\n",
    "\n",
    "# 规定时间的表示方式\n",
    "hours = mdates.DateFormatter('%H:%M')\n",
    "ax.xaxis.set_major_formatter(hours)\n",
    "\n",
    "#表示在图上\n",
    "ax.plot(day_ravenna,y1,'r',day_faenza,y2,'r',day_cesena,y3,'r')\n",
    "ax.plot(day_milano,y4,'g',day_asti,y5,'g',day_torino,y6,'g')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7ff1c5c59630>]"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 获取最大湿度数据\n",
    "hum_max = [df_ravenna['humidity'].max(),\n",
    "df_cesena['humidity'].max(),\n",
    "df_faenza['humidity'].max(),\n",
    "df_ferrara['humidity'].max(),\n",
    "df_bologna['humidity'].max(),\n",
    "df_mantova['humidity'].max(),\n",
    "df_piacenza['humidity'].max(),\n",
    "df_milano['humidity'].max(),\n",
    "df_asti['humidity'].max(),\n",
    "df_torino['humidity'].max()\n",
    "]\n",
    "\n",
    "plt.plot(dist,hum_max,'bo')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7ff1c5c31eb8>]"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXQAAAD8CAYAAABn919SAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvhp/UCwAAEkhJREFUeJzt3X+I5Pd93/Hn6/TLXsetLGstDl/uVgqiTgj1WYyFioohsnFlJ0QKKEGwJSIItk2T4hKSSOpBsaEHdWkqUygOG/+6JpNYjlIhY0iwsGTafyJ7Lz5J58iOFPvuokjRrRMribug1PK7f3y/Z+9dd29n73Z2Zj73fMDwne9nvjPz4rOzr/3Od767m6pCkjT79kw6gCRpZ1joktQIC12SGmGhS1IjLHRJaoSFLkmNsNAlqREWuiQ1wkKXpEZcvptPdu2119bCwsJuPqUkzbyjR49+q6rmt9puVwt9YWGBlZWV3XxKSZp5SU6Osp2HXCSpERa6JDXCQpekRljoktQIC12SGjGThT4cwsIC7NnTLYfD6Xo8SZqEXT1tcScMh7C0BGtr3frJk906wOLi5B9PkiYlu/kv6AaDQV3seegLC13pnuvAAThxYvKPJ0k7LcnRqhpstd3MHXI5dWp747v9eJI0KTNX6Pv3b298tx9PkiZl5gr98GGYmzt7bG6uG5+Gx5OkSRmp0JNcneThJF9L8mySf5bkmiSPJXmuX75p3GGh+6Byebk7xp10y+XlC/8Ac6cfT5ImZaQPRZMcAf53VX0syZXAHPDvgb+pqv+U5H7gTVV13/keZyc+FJWkS82OfSia5B8B7wI+DlBV/1BVrwB3AEf6zY4Ad154XEnSxRrlkMsNwCrwySRfSfKxJG8ArquqlwD65Vs2unOSpSQrSVZWV1d3LLgk6WyjFPrlwE3AR6vqHcD/Ae4f9QmqarmqBlU1mJ/f8u+zS5Iu0CiF/gLwQlU92a8/TFfwLyfZC9AvT48noiRpFFsWelX9FfAXSf5JP/Ru4E+BzwL39GP3AI+OJaEkaSSj/i2XfwsM+zNcvgH8At0Pg88kuRc4BfzseCJKkkYxUqFX1TFgo1Nm3r2zcSRJF2rmflNUkrQxC12SGmGhS1IjLHRJaoSFLkmNsNAlqREWuiQ1wkKXpEZY6JLUCAtdkhphoUtSIyx0SWqEhS5JjbDQJakRFrokNcJCl6RGWOiS1AgLXZIaYaFLUiMsdElqhIUuSY0YqdCTnEjyTJJjSVb6sQ8m+ct+7FiS9483qiTpfC7fxrY/UVXfOmfswar6LzsZSJJ0YTzkIkmNGLXQC/h8kqNJltaN/3KSp5N8IsmbNrpjkqUkK0lWVldXLzqwJGljoxb6rVV1E/A+4JeSvAv4KPAjwEHgJeA3NrpjVS1X1aCqBvPz8zuRWZK0gZEKvape7JengUeAm6vq5ap6raq+B/wWcPP4YkqStrJloSd5Q5I3nrkOvBc4nmTvus1+Bjg+joDDISwswJ493XI4HMezSNLsG+Usl+uAR5Kc2f53q+qPkvx2koN0x9dPAP9qp8MNh7C0BGtr3frJk906wOLiTj+bJM22VNWuPdlgMKiVlZWRt19Y6Er8XAcOwIkTOxZLkqZakqNVNdhqu6k+bfHUqe2NS9KlbKoLff/+7Y1L0qVsqgv98GGYmzt7bG6uG5cknW2qC31xEZaXu2PmSbdcXvYDUUnayHb+lstELC5a4JI0iqneQ5ckjc5Cl6RGWOiS1AgLXZIaYaFLUiMsdElqhIUuSY2w0CWpERa6JDXCQpekRljoktQIC12SGmGhS1IjLHRJaoSFLkmNGOnvoSc5Afw98Brw3aoaJLkGeAhYAE4AP1dV3x5PTEnSVrazh/4TVXVw3X+evh/4QlXdCHyhX5ckTcjFHHK5AzjSXz8C3HnxcSRJF2rUQi/g80mOJlnqx66rqpcA+uVbxhFQkjSaUf+n6K1V9WKStwCPJfnaqE/Q/wBYAti/f/8FRJQkjWKkPfSqerFfngYeAW4GXk6yF6Bfnt7kvstVNaiqwfz8/M6kliT9f7Ys9CRvSPLGM9eB9wLHgc8C9/Sb3QM8Oq6QkqStjXLI5TrgkSRntv/dqvqjJF8GPpPkXuAU8LPjiylJ2sqWhV5V3wDevsH4XwPvHkcoSdL2+ZuiktQIC12SGmGhS1IjLHRJaoSFLkmNsNAlqREWuiQ1wkKXpEZY6JLUCAtdkhphoUtSIyx0SWqEhS5JjbDQJakRFrokNcJCl6RGWOiS1AgLXZIaYaFLUiMsdElqhIUuSY0YudCTXJbkK0k+169/Ksk3kxzrLwfHF1OStJXt7KF/AHj2nLFfq6qD/eXYDuaSpCYMh7CwAHv2dMvhcHzPNVKhJ9kH/CTwsfFFkaS2DIewtAQnT0JVt1xaGl+pj7qH/hHg14HvnTN+OMnTSR5MctXORpOk2XboEKytnT22ttaNj8OWhZ7kp4DTVXX0nJseAN4GvBO4Brhvk/svJVlJsrK6unqxeSVpZpw6tb3xizXKHvqtwE8nOQF8Grgtye9U1UvVeRX4JHDzRneuquWqGlTVYH5+fseCS9K0279/e+MXa8tCr6oHqmpfVS0AdwOPV9W/TLIXIEmAO4Hj44koSbPp8GGYmzt7bG6uGx+HizkPfZjkGeAZ4FrgP+5MJElqw+IiLC/DgQOQdMvl5W58HFJV43nkDQwGg1pZWdm155OkFiQ5WlWDrbbzN0UlqREWuiQ1wkKXpEZY6JLUCAtdkhphoUtSIyx0SWqEhS5JjbDQJakRFrokNcJCl6RGWOiS1AgLXZIaYaFLUiMsdElqhIUuSY2w0CWpERa6JDXCQpekRljoktQIC12SGjFyoSe5LMlXknyuX78+yZNJnkvyUJIrxxdTkrSV7eyhfwB4dt36h4EHq+pG4NvAvTsZ7FIwHMLCAuzZ0y2Hw0kn0nb5NdQ0GanQk+wDfhL4WL8e4Dbg4X6TI8Cd4wjYquEQlpbg5Emo6pZLSxbCLPFrqGkz6h76R4BfB77Xr78ZeKWqvtuvvwC8dYezNe3QIVhbO3tsba0b12zwa6hps2WhJ/kp4HRVHV0/vMGmtcn9l5KsJFlZXV29wJjtOXVqe+OaPn4NNW1G2UO/FfjpJCeAT9MdavkIcHWSy/tt9gEvbnTnqlquqkFVDebn53cgchv279/euKaPX0NNmy0LvaoeqKp9VbUA3A08XlWLwBPAXf1m9wCPji1lgw4fhrm5s8fm5rpxzQa/hpo2F3Me+n3AryR5nu6Y+sd3JtJ02umzGRYXYXkZDhyApFsuL3fjmg1+DTVtUrXhoe+xGAwGtbKysmvPt1POnM2w/gOwuTm/eSXtjiRHq2qw1Xb+pugIPJtB0iyw0Efg2QySZoGFPgLPZpA0Cyz0EXg2g6RZYKGPwLMZJM2Cy7feRNCVtwUuaZq5hy5JjbDQJakRFrokNcJCl6RGWOiS1AgLXZIaYaFLUiMsdElqhIUuSY2w0CWpERa6JDXCQpekRljoktQIC12SGmGhS1Ijtiz0JK9L8qUkTyX5apIP9eOfSvLNJMf6y8Hxx5UkbWaUPfRXgduq6u3AQeD2JLf0t/1aVR3sL8fGllLSRRsOYWEB9uzplsPhpBNpp235H4uqqoDv9KtX9JcaZyhJO2s4hKUlWFvr1k+e7NbB/8TVkpGOoSe5LMkx4DTwWFU92d90OMnTSR5MctXYUkq6KIcO/aDMz1hb68bVjpEKvapeq6qDwD7g5iQ/DjwAvA14J3ANcN9G902ylGQlycrq6uoOxZa0HadObW9cs2lbZ7lU1SvAF4Hbq+ql6rwKfBK4eZP7LFfVoKoG8/PzFx1Y0vbt37+9cc2mUc5ymU9ydX/99cB7gK8l2duPBbgTOD7OoJIu3OHDMDd39tjcXDeudmz5oSiwFziS5DK6HwCfqarPJXk8yTwQ4Bjwr8eYU9JFOPPB56FD3WGW/fu7MvcD0bakO4lldwwGg1pZWdm155OkFiQ5WlWDrbbzN0UlqREWuiQ1wkKXpEZY6JLUCAtdkhphoUtSIyx0SWqEhS5JjbDQJakRFrokNcJCl6RGWOiS1AgLXZIaYaFLUiMsdElqhIUuSY2w0CWpERa6JDXCQpekRljoktQIC12SGrFloSd5XZIvJXkqyVeTfKgfvz7Jk0meS/JQkivHH1eStJlR9tBfBW6rqrcDB4Hbk9wCfBh4sKpuBL4N3Du+mJKkrWxZ6NX5Tr96RX8p4Dbg4X78CHDnWBJKkkYy0jH0JJclOQacBh4D/hx4paq+22/yAvDW8USUJI1ipEKvqteq6iCwD7gZ+NGNNtvovkmWkqwkWVldXb3wpJKk89rWWS5V9QrwReAW4Ookl/c37QNe3OQ+y1U1qKrB/Pz8xWSVJJ3HKGe5zCe5ur/+euA9wLPAE8Bd/Wb3AI+OK6QkaWuj7KHvBZ5I8jTwZeCxqvoccB/wK0meB94MfHx8MSVpa8MhLCzAnj3dcjicdKLddflWG1TV08A7Nhj/Bt3xdEmauOEQlpZgba1bP3myWwdYXJxcrt3kb4pKasKhQz8o8zPW1rrxS4WFLqkJp05tb7xFFrqkJuzfv73xFlnokppw+DDMzZ09NjfXjV8qLHSN7FI/g0DTbXERlpfhwAFIuuXy8qXzgSiMcJaLBJ5BoNmwuHhpvx7dQ9dIPINAmn4WukbiGQTS9LPQNRLPIJCmn4WukXgGgTT9LHSNxDMIpOnnWS4a2aV+BoE07dxDl6RGWOiS1AgLXZIaYaFLUiMsdElqRKpq954sWQVOnmeTa4Fv7VKcnTBLeWcpK5h3nGYpK8xW3nFlPVBV81tttKuFvpUkK1U1mHSOUc1S3lnKCuYdp1nKCrOVd9JZPeQiSY2w0CWpEdNW6MuTDrBNs5R3lrKCecdplrLCbOWdaNapOoYuSbpw07aHLkm6QFNT6EluT/L1JM8nuX/Sec6V5ESSZ5IcS7LSj12T5LEkz/XLN00w3yeSnE5yfN3YhvnS+W/9XD+d5KYpyfvBJH/Zz/GxJO9fd9sDfd6vJ/kXu5z1h5M8keTZJF9N8oF+fOrm9zxZp3VuX5fkS0me6vN+qB+/PsmT/dw+lOTKfvyqfv35/vaFKcn7qSTfXDe/B/vx3X0tVNXEL8BlwJ8DNwBXAk8BPzbpXOdkPAFce87Yfwbu76/fD3x4gvneBdwEHN8qH/B+4A+BALcAT05J3g8Cv7rBtj/WvyauAq7vXyuX7WLWvcBN/fU3An/WZ5q6+T1P1mmd2wA/1F+/Aniyn7PPAHf3478J/GJ//d8Av9lfvxt4aJdft5vl/RRw1wbb7+prYVr20G8Gnq+qb1TVPwCfBu6YcKZR3AEc6a8fAe6cVJCq+l/A35wzvFm+O4D/UZ0/Bq5Osnd3knY2ybuZO4BPV9WrVfVN4Hm618yuqKqXqupP+ut/DzwLvJUpnN/zZN3MpOe2quo7/eoV/aWA24CH+/Fz5/bMnD8MvDtJdinu+fJuZldfC9NS6G8F/mLd+guc/0U4CQV8PsnRJP3/u+e6qnoJum8k4C0TS7exzfJN83z/cv/W9BPrDmFNTd7+Lf476PbMpnp+z8kKUzq3SS5Lcgw4DTxG9y7hlar67gaZvp+3v/1vgTdPMm9VnZnfw/38PpjkqnPz9sY6v9NS6Bv9hJ22029uraqbgPcBv5TkXZMOdBGmdb4/CvwIcBB4CfiNfnwq8ib5IeAPgH9XVX93vk03GNvVvBtkndq5rarXquogsI/u3cGPnifT1OVN8uPAA8DbgHcC1wD39Zvvat5pKfQXgB9et74PeHFCWTZUVS/2y9PAI3QvvJfPvH3ql6cnl3BDm+Wbyvmuqpf7b5bvAb/FD976TzxvkivoCnJYVf+zH57K+d0o6zTP7RlV9QrwRbpjzVcnOfMf1dZn+n7e/vZ/zOiH7nbUury394e6qqpeBT7JhOZ3Wgr9y8CN/SfbV9J92PHZCWf6viRvSPLGM9eB9wLH6TLe0292D/DoZBJuarN8nwV+vv8E/hbgb88cOpikc44t/gzdHEOX9+7+DIfrgRuBL+1irgAfB56tqv+67qapm9/Nsk7x3M4nubq//nrgPXTH/Z8A7uo3O3duz8z5XcDj1X/6OMG8X1v3gz10x/vXz+/uvRbG+Ynrdi50nwb/Gd3xs0OTznNOthvozgR4CvjqmXx0x+6+ADzXL6+ZYMbfo3sr/X/p9gru3Swf3dvA/97P9TPAYEry/naf52m6b4S967Y/1Of9OvC+Xc76z+neJj8NHOsv75/G+T1P1mmd238KfKXPdRz4D/34DXQ/WJ4Hfh+4qh9/Xb/+fH/7DVOS9/F+fo8Dv8MPzoTZ1deCvykqSY2YlkMukqSLZKFLUiMsdElqhIUuSY2w0CWpERa6JDXCQpekRljoktSI/wfmu1uqN4o1FwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 获取最小湿度\n",
    "hum_min = [\n",
    "df_ravenna['humidity'].min(),\n",
    "df_cesena['humidity'].min(),\n",
    "df_faenza['humidity'].min(),\n",
    "df_ferrara['humidity'].min(),\n",
    "df_bologna['humidity'].min(),\n",
    "df_mantova['humidity'].min(),\n",
    "df_piacenza['humidity'].min(),\n",
    "df_milano['humidity'].min(),\n",
    "df_asti['humidity'].min(),\n",
    "df_torino['humidity'].min()\n",
    "]\n",
    "plt.plot(dist,hum_min,'bo')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7ff1c5b97470>]"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(df_ravenna['wind_deg'],df_ravenna['wind_speed'],'ro')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[ 0  5 11  1  0  1  0  0]\n",
      "[  0.  45.  90. 135. 180. 225. 270. 315. 360.]\n"
     ]
    }
   ],
   "source": [
    "hist, bins = np.histogram(df_ravenna['wind_deg'],8,[0,360])\n",
    "print(hist)\n",
    "print(bins)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "def showRoseWind(values,city_name,max_value):\n",
    "    N = 8\n",
    "\n",
    "    # theta = [pi*1/4, pi*2/4, pi*3/4, ..., pi*2]\n",
    "    theta = np.arange(0.,2 * np.pi, 2 * np.pi / N)\n",
    "    radii = np.array(values)\n",
    "    # 绘制极区图的坐标系\n",
    "    plt.axes([0.025, 0.025, 0.95, 0.95], polar=True)\n",
    "\n",
    "    # 列表中包含的是每一个扇区的 rgb 值，x越大，对应的color越接近蓝色\n",
    "    colors = [(1-x/max_value, 1-x/max_value, 0.75) for x in radii]\n",
    "\n",
    "    # 画出每个扇区\n",
    "    plt.bar(theta, radii, width=(2*np.pi/N), bottom=0.0, color=colors)\n",
    "\n",
    "    # 设置极区图的标题\n",
    "    plt.title(city_name, x=0.2, fontsize=20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "showRoseWind(hist,'Ravenna',max(hist))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[7 2 3 3 3 2 0 0]\n"
     ]
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAU0AAAFVCAYAAABrdb0yAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvhp/UCwAAIABJREFUeJzsvXlYW9ed//8+QhIIsUkgid1sxgYMNsbGe5K2kyZO4+k0deIs/bbJb9pO4pm2aZK2k/TbNs1M27SZ5OmkTaa/fn/tTDsZJ22S+U6TTNYG7wZjdrObzQLtQhLakXTv+f0B0mAjQIIrEPi+nuc+snWvzjkSV2+dcz4boZSCh4eHhycyBGs9AB4eHp71BC+aPDw8PFHAiyYPDw9PFPCiycPDwxMFvGjy8PDwRAEvmjw8PDxRwIsmDw8PTxRsSNEkhNAljgfXeow8PDzrE+FaDyDG/HCB5ztWdRQ8PDwbBrIRI4IIIRQAKKVkrcfCw8OzsdiQy/NoIYRICSFPEUI6CSEuQoiTEHKBEHIszLV/MbvE/9+EkL2EkHcJIZbZ5/Jnr5kghAwRQtIJIT8nhFwlhPgJIf979nweIeQHs33oCSE+QoiGEPIfhJCtYfosm23//yOEbCGEvE4IMRFCWELIwdlrdhFCXiSEdBFCrIQQLyFkkBDyHCEkI9afIQ/PjcJGX54vCSFEBuAkgO0AWgH8FjM/JrcDeI0QUkEpfTrMSw8C+D6AMwB+A0AJwD/nfBKAUwDSALwPwAFgbPbcJwB8e7bfdgAuAJsB3APgCCFkP6W0O0yf5QCaAfQCeAVA8my7APAwgM/MjucjAAkA6gA8AeB2QsheSqkrsk+Fh4dnITb08hzh9zTHKKX/NufaVwA8AOBxSukLc56XAHgLwKcAbKeUXp59/i8wI0oA8GVK6W/C9D8BIA/AhwA+Ryl1X3deBcBFKXVe93wtgHMAGiilR+Y8Xwbgyux//4FS+v0wfW4CMEEpZa57/m8A/ArAE5TS58N8Hjw8PFGw0UUzHKcppbfMXqcEoAPQTCndF6adOgAtAH5CKX1q9rmgaLZQSncv0H9QNLdRSnuiHPu7AG4BkBoUwDmiqQVQTCn1RdGeAIAdwAVK6aejGQsPD898NvTyPAJDUD1mluKEEPJ0mPOJs48VYc41L9G2azHBJIT8JYC/wcwSOhPz/xZyAKbrnutYSDAJISIAjwA4BqASM9sCc/es85YYLw8PTwRsaNGMgMzZxz2zx0KkhHlOv0TbhoVOEEIeA/A8AAuAPwO4CsADgAK4C0A1/kewI+3zTQBHAAwD+L+z/U/PnntsgfZ4eHii5EYXzanZx+copd+O8rVL7WuEPT87I3waM0vtnZRSw3XnDy2jzb2YEcwPANxJKQ3MOZcA4MklxsrDwxMhN7rL0UXMCNFiQsU1KgCpAM6FEcw0ALXLaLNs9vFPcwVzln0AxMtok4eHJww3tGhSSnUAXgOwlxDy5Oys7BpmfSQ3cditDoAXwG5CiHROP2IAvwAgW0abY7OPt8x9ctZK/4tljZKHhycsN/ryHJgxnpQB+DGABwkh5zBjgMnBjEFlF4C7MbPvuGIopQwh5JeY8Z+8TAh5CzP7jZ8EkA7gNICbo2y2EUATgHtmHezPA8gGcAeAbiyyv8rDwxMdN/RMEwAopVOYWZ5/AzOGmaMAHsXMrG1q9t8NHHf7JGac26cxY0H/K8xsFewGMBFtY7OuSUcA/L8A8gF8HcD+2f8fBnD9kp2Hh2eZbEg/TR4eHp5YccPPNHniB0LINwgh3YSQHkLIo7PPyQkhHxFCrsw+ymafFxBCfj8bv1+1tiPnuZHgRZMnLiCEbAPwFcwEHGwHcCchZDOAvwfwMaV0M4CPZ/8PAJ/GzJbG5wA8vvoj5rlR4UWTJ16oANBEKXXPuk2dxowgfhbA72av+R1m9n+BmYQk7OzBpwDkWTV40eSJF7oB3EQIySSEJGPG8l8AQDXrGhZ0EVPOXv8BZrwM3gLwQpj2eHhiAu9yxBMXUEr7CCE/xUwyFCeATixi9Z+djd67SsPj4QnBzzR54gZK6W8opTsppTdhxv3rCgADISQHAGYfjWs5Rh4eXjR54obZVH0ghBRiJnHJq5hZfn9p9pIvAfjT2oyOh2cG3k+TJ24ghJzFTOYpP4DHKKUfE0IyAfwRQCEANYC7KaWWNRwmzw0OL5o8PDw8UcAvz3l4eHiigBdNHh4enijgRZOHh4cnCnjR5OHh4YkCXjR5eHh4ooAXTR4eHp4o4EWTh4eHJwp40eTh4eGJAj5hB09cMFtYTg5AhJn7cu4hmr3Mj5kkHnMPPwALpdS32mPmuTHhI4J4YgohRIKZInU5AHISExPz5XJ5mVAoLGZZNjcQCGSKRCJRUlJSQmZmJisWi4lIJMLsQUQiEYRCIXG73Slisdjh9/vh9/vp7CN8Ph+1WCwCj8fD+P1+v1AonBQIBNpAIDBqsViGpqenJzBTAVQLQEcp9a7l58Gz/uFFk2fFEEIIgFwAdVlZWTclJSUdCgQCuSKRSCiVSgU5OTkoLCwUFhcXJxUUFEhyc3NJTk4OcnNzkZmZCYFg6V2iU6dO4ZZbbln0GpZlYTabodPpoNPpoNVq6fj4uGd0dNSrVqsDOp0OTqeTBgIBv1Ao1Hq93rNms/kMgFYAWsp/GXgigBdNnqiYFch8AHVKpfImkUh0iGXZgsLCQnLo0CHJ/v37U+vq6lBQUICZS7khEtGMFEopxsfH0draigsXLjjOnj3rUavVVCAQjPv9/rNGo/E0ZoRUwwspz/XwosmzKLM5LPcqlcpbRCLRQZZl84qKisihQ4eS9+/fn1JXV4e8vDxOBTIcXIpmOCilmJiYCAqp8+zZs+6rV69iVkjPzQppUzCLPM+NCy+aPNcwO5PckZmZea9IJPp8Tk5O2m233Za8b98+aV1dHXJzc2MukOGItWiGg1IKrVYbEtIPP/zQo9PpHH6///XJyck/AOjgZ6I3Hrxo8oAQkgjgE7m5uV9kGOYTu3btEj7wwAOZhw8fJhkZGWs9PABrI5rhsFqteO+99+iJEycmW1paAgkJCSe1Wu3vAJyilE6v9fh4Yg8vmjcohJAssVh8RKlUPkgIqbjjjjvEx44dSz948CBEItHSDSwTSin8fj+mp6dDh9/vRyAQCD0yDAOWZUEpDT2aTCYolUoIBAIQQiAQCJCQkAChUIhZCztEIhESExNDh0gkiums2O/349y5c3jttdds7777rh9An9Fo/Fefz/cOpdQcs4551hReNG8gCCGlGRkZD0gkknvlcnnWvffem3LXXXdJKioqOBUXv98Pp9MJh8MBt9sNt9sNj8cDv98PABCLxSFhE4vFEIvFEAqF1xxBcQwKZFNTE+rr60EpDYlpIBC45vD5fPD5fCEx9vlmXDdFIhEkEgmSk5ORnJyM1NRUpKSkcPrjQClFX18f3nzzTc8f/vAHh8VimfR4PK/ZbLb/oJQOc9YRz5rDi+YGhxCSKBKJ7srKyvpOXl5e7sMPPyw/cuRIglKpXPrFS0AphdPpxNTUVOjw+XwQCoVISUlBSkoKpFJpSKxWIlIrWZ77/f6QeLtcLjidTjidTgQCAYjFYqSnp4eOlJQUTn5AjEYj3n77beZXv/qVRaPRaMxm88/8fv9/8kv49Q8vmhsUQkiFSqV6XCAQHLn//vuTjx8/nlJSUrKiNn0+HywWS+gIBAKQSqXIyMgIiU5iYiJH7+BaYrWnOT09HRJ8m80Gl8sFoVAIuVweOsRi8Yr6GB4exssvv+x49dVXPSzLvmUwGJ6nlPZz9BZ4VhleNDcQhBDh7KzyeyUlJarHH38868477yTLneH5/X6YzWaYTCZYLBbOxSQaVtMQFO7HQS6XQ6FQICsra9kzZr/fj3feeYd9/vnnJ4eHhw2Tk5P/MDv7XLC+O0/8wYvmBoAQIpfL5V8TiUR/c/ToUekTTzyRVlRUFHU7lFI4HA7odDoYjUZQSpGVlQWFQgG5XI6EhATuBx8ha2k9ZxgGFosFJpMJZrMZhBAolUrk5OQgNTV1Wcv50dFR/NM//ZP9zTffdPl8vl9ZrdZf8lU21we8aK5jCCEVOTk5P0hMTPzUY489lvrQQw8lpqSkRNUGpRSTk5PQ6XQwm81ISUlBdnY2VCrVqs4klyJeXI6AmZmowWCAXq+H0+lEVlYWcnJykJmZGbWAOp1O/Pa3v/W98MIL9unp6Y/1ev0PKaV9MRo6DwfworkOIYSUqlSqXxYUFOx65plnMm+77TYSSfx2EEoprFYrNBoNzGYzZDJZKA58LWeTixFPojkXhmEwOTkJrVYLq9WKrKws5OXlQSaTRSWgLMvi/fffp9///vctGo2mWa/X/x2ldCSGQ+dZJrxoriMIISqVSvWcTCY7/OKLL2beeuutUU1r3G431Go1dDod0tPTkZeXB4VCEVHCjLUmXkVzLizLwmQyQaPRYGpqCrOJSpCcnBxVOx999BH9+te/Pmm1Wt81GAzfppQaYjRknmXAi+Y6gBCSplAofpCcnPzFn/70pxl33323MFKhYxgGOp0OarUalFIUFhYiJycHQuH6SqW6HkRzLoFAIPS5E0JCn3ukM3mWZfHHP/6R+fu//3ury+X6ndlsfoZSao/xsHkigBfNOIYQkpiRkfFocnLyY9/97nfTv/KVryRGarn1eDwYGxuDXq9HdnY2CgsLIZVKYzzi2LHeRHMuLpcLarU69LcoKiqCRCKJ6LV+vx+//vWvp3/84x9Pud3uF2w22895X8+1hRfNOIQQkiCVSr+UkpLyD8ePH8944oknkiNd4lksFgwPD8Pr9aKoqAh5eXnrYvm9FOtZNIMwDAOtVouxsTEkJSWhtLQUcrk8ote6XC48//zz7pdfftnmdDq/53K5fkcpZWI8ZJ4w8KIZRxBCiFgsPiKTyX5+9913Z/3whz9MjeRLRSmFwWDA0NBQ6Msok8lWYcSrx0YQzblYrdbQj1tZWRlUKlVEhqPJyUk8/fTT9tdff31ycnLyG4FA4B0+09LqwotmnEAI2axSqf54yy23FD333HMZBQUFS74mmANyZGQEGRkZKCsrW9dL8MXYaKIZxOVyYWhoCDabDSUlJcjPz49IPMfHx/Gtb33LeurUqasGg+EeSumVVRguD3jRXHMIIQlyufzbMpns8VdffTVz9+7dS74mmOfxypUrUCgUKC0tRVJS0iqMdu3YqKIZxOv1Ynh4GCaTCZs3b444b2lzczPuv/9+s8Vied5qtf6MUsquwnBvaHjRXEMIIWVKpfLNBx54oPjHP/5x6lLCRymFXq/H4OAg5HI5Nm/evOHFMshGF80gXq8XV65cgcViQXl5ObKzs5cUT6/XiyeffNJx4sSJUaPR+HlK6dAqDfeGhBfNNYAQIpDL5d+SyWRPnDhxIqu+vn7J11itVvT29kIqlWLLli0RW183CjeKaAbxeDwYGBiAy+VCZWVlRHvUFy9exP333z9ps9mes1gsz/GzztjAi+YqE5xd3nfffcXPPvvskrNLt9uN3t5eBAIBVFZWIi0tbZVGGl/caKIZxG63o6enB2KxGBUVFUs6ynu9XnznO99xvPbaayOzs04+lyfH8KK5SszOLp/IyMj41okTJ7L27Nmz6PUMw2BoaAh6vR4VFRXgIv/leuL6zO3nz5/HwYMHr8ncfiNhNBrR19eH7OxslJWVLekk39TUhAceeMBstVp/ZrVan+dnndzBi+YqQAgpVSqVbx47dqzkZz/72ZKzS4PBgL6+PuTn56OkpGRDCATLsvB6vddkcg9mVw+WvJhLUBiD2dutVisyMjKuEdK5BEtdBLPCz83UnpSUtGE+w5GREUxMTKCiogIqlWrR6z0eD77zne84/vCHP/CzTg7ZcKJJCPktgDsBGCml22af+wcAnwXAAjACeJBSqiWE3ALgTwBGZ1/+n5TSZ2Zfcy+AbwP4PaX058scC5HL5Y+lp6c/eeLEicy9e/cuer3X68Xly5dBCEFVVdW63LdkWTaUzd3hcMDhcMDj8QDANUImkUiuqecjFAoXNXgstjynlCIQCFxTd8jj8Vwj0MH+U1NTkZqaGsrSvh7F1OPxoKenB5RSVFdXL2kMbGxsxAMPPGCempp61mKxvMCFXychJAFAC2Zqw99JCPk3ADcDmJq95EFKaQchRADg3wCUAfgKpbRnpX2vNRtRNG8C4MSM2AVFMy0Yt0sI+TqASkrpw7Oi+QSl9M4w7fwXgM8D+A8AX6aUOqMch0SpVL7+mc985tBLL72UtpgAUkoxPj6O4eFhVFZWLjmDiBcopfB4PKFkvTabDSzLhkQpWIsnOTl5xSUkVrqnSSmF2+0O1S4KirpAIEBGRkYosbJEIlmTEsXLwWAwoLe3F6WlpSgoKFh03B6PB8ePH7e/++67Z4xG4z2UUs9K+iaEPAZgF4C0OaL5DqX0jeuuux1AKYA3APyEUvr/rKTfeGB9ZW2IAErpGUJI0XXPzU10IAUQyS9F8A6kc/4dEYSQPIVC8eenn366+JFHHlm0/oPb7UZnZyeSk5MR60qQXODxeGA0GmE2m2G32yGRSCCXy5Gbm4vKysq4TQRCCIFUKoVUKr3mRykQCMBms8FisWBiYgIejwdpaWlQKBRQKBRxPdtXqVSQy+Xo7e2FRqPBjh07FhyvRCLBv/7rv6a9/PLLt/7whz9sJYTcSinVLKdfQkg+gM8A+BGAx5a4PAEzKzwWUX6P4pX4vMNjACHkRwC+iJnlwyfmnNpHCOkEoMXMrDO4fPhPzCw/XqGUOqLoZ09OTs5/vfrqq6qbb7550ZtkYmICQ0ND2LZtG7KysqJ6P6sFy7KwWCzQ6/Uwm80Qi8VQKBQoKytDWlraupmVLYRQKERWVlbo86eUwm63w2g0or29HT6fD1lZWcjOzoZcLo+75bxIJML27dthNptx8eJFlJWVIT8/f8Hrjx8/nlhVVbX1vvvuayGEfJZS2ryMbn+Oma2r1Oue/xEh5PsAPgbw97OJRT4A8ApmvntfXUZfcceGW54DwOxM853g8vy6c08CSKKU/oAQkgaApZQ6CSF3APhnSunm5fYrk8n+WqVS/fSDDz7I3LRp04LX+Xw+dHV1QSAQoLq6Ou5mlyzLwmg0QqvVYmpqCnK5HNnZ2cjKylqzJMVr5XLEMAzMZjP0ej0sFgvS09ORm5sbqsEeT/j9fly+fBksy6KmpmbRzPtjY2O4/fbbJ/V6/bdsNtu/RtoHIeROAHdQSo/P3d4ihOQA0AMQA/g1gOGgfWCjcSOK5iYA/73AuTEAuyil5ij7S1Aqlb+sra2994033shYrOTE5OQkurq6UF5ejry8vGi6iSmUUpjNZmg0GlitVigUCuTm5kadgTxWxIOfZjDjvVarhclkgkwmQ15eHrKysuLiMwqi0WgwODiImpoaZGZmLnid0+nE0aNHbW1tba+aTKavRZI1iRDyEwD/C0AAQBKANMwYUL8w55pbsICtYENAKd1wB4AiAN1z/r95zr+/BuCN2X9n439+OOoBqIP/j6KvdKVSef6pp55yMAxDF4JlWTo4OEjPnj1LXS7XgtetNm63m/b399OGhgba1tZGTSYTZVl2rYc1j5MnT671EK6BZVlqMploW1sbbWhooP39/dTtdq/1sEK4XC569uxZOjg4uOjfk2EY+uSTTzoVCsU5AOk0unv/FsxMTgAgZ/aRYGb5/mw0ba2nY8PNNAkhr2Lmj5kFwADgBwDuALAFM5vRVwE8TCnVEEL+DsAjmPnV9AB4jFJ6IYq+ypVK5Qe//OUv8+++++4F94d9Ph/a29uRkpKCioqKNV/WUUphMpkwMjKCQCCAwsJC5Obmxq0RB4iPmeZCBAIBaLVaqNVqCIVClJSUQKFQrPnsk2VZ9Pb2wuVyoba2dtHl+h//+MfA1772tQmj0fhpGmHGpOuW5w0AFJgRzQ7MfMei8jhZL2w40VwtkpKSblcqlb9/++23Fdu3b1/wuqmpKbS3t2PLli3IyclZxRHOJxAIQK1WQ61WIyMjA8XFxUhPT1/TMUVKPIvmXKampjA6OgqbzYbCwkIUFhau+Y+RTqfDwMAAamtrF/17d3R04C//8i9NRqPxf3m93g9WcYjrCl40l4FcLv/b4uLiZ9577z35YuGNGo0GQ0NDqKurQ7SldbnE5/NhZGQEOp0O+fn52LRpU1yV542E9SKaQXw+H65evYqJiQnk5uaiuLh4TT9zp9OJ1tZWlJWVLbqXbjQacfjwYcvo6Oj3LBbLy6s4xHUDL5pRkpmZ+UR1dfVT77//vmyhSAxKKfr6+uBwOLBz5841s45PT09jaGgIJpMJxcXFyM/Pj9sSvUux3kQzCMMwGB8fx9jYWMhVKzFxUdfdmOH3+9HW1obU1FRUVFQsuH3g8Xhw++23W3t6en5kNpufX+Vhxj28aEZBVlbW9+rq6h57++23MxaaNTAMg9bW1tD+5Vrsa/l8PgwNDcFoNKK0tDTibODxzHoVzSCUzmTZHx4ehlKpRFlZ2ZrMPIM/6E6nE3V1dQv+iE5PT+PIkSO29vb2500m0z+u8jDjGl40I0SpVP5k7969D7/55psZC80cp6encenSJRQUFGAxP81YwTAMhoeHodVqQ6UT1troxBXrXTSDsCwbEs9gQpa1mP1fvXoV4+Pj2L1794IzX7/fj7vuusvW1NT0LyaT6alVHmLcwovmEhBCiFKp/PnNN9/8pVdffTV9oRvc6XSipaUFlZWVq57GLTiLGRoaQkFBAYqLi9ftMnwhNopoBmEYBqOjoxgfHw9F8az2asBoNKK3txe7du1acM+dYRjce++9U2fOnPmd0Wh8lPKCwYvmUqhUqn/evXv38VdeeUWYkZER9hqbzYb29nbs3Llz1a3RNpsN3d3dSE9Px5YtW9adgSdSNppoBvH5fBgYGMDU1BS2bduGhe6xWDE1NYW2tjbU1tYu2LfNZsMXvvCFwKVLl14yGAyPruoA45CNsXaLEUql8ic333zzl1555RVhe3s77Hb7vGvMZjM6OjpQX1+/qoLp8/nQ2dmJnp4e1NTUoLq6esMK5kZGLBajuroaNTU16OnpQWdnJ3w+36r1n56ejvr6enR0dMBsnh8IZ7fb0d7ejldeeUV40003PahQKH60aoOLV9bauz5ej8zMzO8dOXLEGggEKKWUTk1N0YaGBjo1NUWD6HQ6eurUKerxeOhqotFoaENDA1Wr1XEZvRML4i0iKBawLEvVajVtaGigGo1mVfv2eDz01KlTVKfThZ67/p73+/30zjvvtGZlZf1vGgff0bU6+OV5GDIzM5/YtWvXd995551rjD52ux2tra2oq6sL1aves2fPqs3wvF4vurq6IBQKsW3btg0xs6R0JoGw1+uFz+eD3+9HIBBAIBAIZWinlGJ4eBhlZWWhjO5CoRBCoRAikQhisRhJSUlLJjJeL/h8Ply+fBkMw6CmpmbVKo76fL5QpiSpVBq61+fWpfL7/fjMZz5ja2tr+8cb1R2JF83rkMvlf1tTU/MPH374oSycKNntdjQ1NUEsFuPAgQOr5oMZTMKwnpIUB2FZFi6XCw6HA06nEy6XC263O1TiYm6pCpFIFBJEgUAQKnnR29uLiooKsCwLlmVDwur3++eVzBCJREhOToZUKkVKSgpSU1MhlUrXnSdBMMnwaiZ38fv9OH/+PHw+H/bu3Ru2kN/09DQ+/elPWy9fvvw9i8Xy0qoMLI6I32DjNSApKen2qqqqZ95///2wggkALpcLYrEYLMvC4/HEXDT9fj+6uroAYF0kKaaUwuFwhDK5T01NgVKKlJSUkIAplUokJydDJBJFPDMMegZE0r/f74fb7YbL5YLdbodWq4XT6QQhBOnp6aFM7ampqXE9Mw0mGe7q6oJer0dNTU3M//4ejwcsy0IsFsPlcoUVzcTERHzwwQeyAwcOPJOUlDTs9Xrfj+mg4gx+pjkLIaS8oKDgXGtrq0KhUIS9Rq/X48qVK9i7dy88Hk/Y5QuXWCwWdHV1LZlYdi2hdCZpr8lkgslkgtfrRWpqKuRyOWQyGdLS0jhxf+LCeh4IBGC320OZ2h0OByQSCbKysqBQKOI6qXLQpaympgZyuTwmfczdfpJIJGhqasLmzZuRnZ0d9nqj0Yhdu3aZxsfHD9AIk3xsBHjRBEAISVcqlR0ffvhh0ULJN8xmM3p6erBv377QXuLcm4xL4Qzu4el0OtTV1S1Z63q1CQQCMJlM0Ov1sNlsSE1NDZWHiNVYY+Vy5Ha7Q4LvcDiQkZGB7OxsKBSKNU+0cT1utxutra3IyclBaWkppwIf7l72+XxobGxEVVXVgpUFOjo6cNttt40ZjcYdlNKpsBdtMG540SSEJCgUijMvvfRS/ULp3Ww2Gzo6OrB37955m/JcC2cwPlgqlaKysjJu9uECgQAMBgM0Gg3cbjeUSiWys7NXLUnxavhpUjqTZFiv18NoNCI5ORl5eXlQqVRxI6Asy6Knpwdut5uzvAaL3cNerxdNTU3YsWPHgn6cr7/+uv9v//Zvm00m0800gkTG6561Nt+v9aFUKv/lqaeectAFcDgctKGhgTqdzoUuCeuOtBzsdjs9efLkqrubLATLstRsNtPW1lZ68uRJ2tvbu+L3uFzWwuVoamqK9vb20pMnT9LW1lZqNpvjxsVLo9HQkydPUrvdvqJ2Irl3nU4nbWhooA7Hgl8T+uSTTzqVSuXLNA6+07E+buiZpkwm++s9e/b807vvvpsRbkY3PT2NxsbGJfMQAiufcer1evT392Pnzp0x2yONFJ/PB7VajYmJCaSnp6OwsBByuXxN9/vWMiKIUgqLxYKrV6/CbrcjPz8fhYWFa+7yZbfb0dbWhq1bty6477jU6yO9Z4N5Yfft2xc2Vp1lWRw+fNh28eLFx6KpObQeuWFFkxCyZ8uWLf/d2tqaKZVK551nGAaNjY0oLy+POJZ8OcJJZ/cvZzfV1/SLaLfbMTIyEkqgW1BQEDfW+ngJo/T7/RgfHw8lci4pKVnTHzmfz4eWlhYolcqo9jmXc68ajUYMDg5i3759YY17s5mTLIODg4fp8qpcrgtuSNEkhOTl5OS0NDY2ZofLRkQhpmgGAAAgAElEQVQpxaVLl6BSqaLOVhTNzciyLC5fvgxKKWpqatZs/9JiseDKlStgGAZlZWVxUarheuJFNINQOlMyZGhoCAkJCdi8eXPMrNpLwbIsOjs7Q9VNl7qPVrIqunr1KgwGA3bv3h32HhkbG8P+/fv1Op2ujlKqjarxdcINJ5qEEIlSqWx9/fXXt950001hlaG3txcAUFlZuaw+IrkpA4EAWlpaIJfLsXnz5jURKYvFgv7+fohEImzevHnVk0VEQ7yJ5lxsNhuuXLkCv9+PrVu3rol4Ukpx5coVWK1W1NXVLWi44sJw2dvbC0IIKioqwp4/ffo0vfvuu/tNJlMdpdSzrE7imbXeVF3NAwBRKpVv/8u//IuXLsDExARtampa8Yb/Yhvs09PT9OzZs1StVq+oj+Vis9nohQsX6MWLF9fMsBMt6yH2fGpqil68eJFeuHCB2my2NRmDWq2mZ8+epdPT0/POcWWwZFmWNjU10YmJiQWveemllzxKpfItRFnddT0caz6A1TzkcvnjDz300IJ3jM1mo6dOnaI+n2+hS6Ii3E3q8Xjo6dOnr0mMsFq43W7a2tpKz58/T61W66r3vxLWg2gGsVqt9Pz587S1tXVNyvrqdDp6+vTpaxLJcCWYQXw+Hz116tSiPw4PPvjglFwuf5zGwXefy+OGWZ4TQkqLi4sv9vT0ZEokknnnfT4fLly4sGhC1uUwdzkkEolw8eJFbNu2bUFn4VjAMAyGhoag0+lQUVEBpVIZd3uWSxHPy/NwUEphMBjQ39+PnJwclJWVrWpiaLPZjO7ubuzZswd+vz8mQRjBxNv79+8Pa8D0eDyoqqoyj46O7qWUDnPW8RpzQ4gmIUSgVCrb/vSnP23fu3fvvPOUUly8eBGbNm2KSZldu92OS5cuAQBqa2tXdc8rmJ07WFohXpzlo2W9iWYQlmUxPDwMjUaz6ln9LRYL2tvbAQC7d++OiZVfp9NBrVajvr4+7A9xY2Mj/uqv/qrTaDTupJSynA9gDVif36AokcvlTxw7dqwknGACM8kgUlJSYlaXPOi2w7LsqkWW+Hw+tLW1YWxsDHv27EFZWdm6Fcz1jEAgwObNm7Fnzx6MjY2hra1t1ZIMC4VCsOyMTsXKdSwnJwdSqRRDQ0Nhz+/btw/33HNPiUwmezwmA1gDNvxMkxBSVlJS0tjT05MVLi/h5OQk+vr6sH///piISjAMraamBkKhMOZJPgBAq9ViYGAAW7ZsQW5ubsz6WU3W60zzelbrbzN3WygQCKCrqytsGDAXsCyLCxcuoKKiApmZmfPOzy7TJ0dHR/dshGX6hp56zC7L3zxx4kRYwfT5fOjq6sLOnTtjIpjBpK7btm2DXC5HWloa6urq0NraGrZ0xkoJxq1rtVocOHBgwwjmRiI3NxcHDhyARqNBW1tbKAcol1zvViSXy7Ft2zY0NzfHZJYrEAiwc+dOdHV1hW1fIpHgxIkTmUql8k1CyLrXnHX/BhZDLpd/67777ives2dP2PNdXV3YsmVLTDLzBAIBNDc3Y8uWLdcYfWIlnBaLBefPn4dCoUBdXd2ah/jxLIxYLMauXbugUChw/vx5WCwWztpeyA8zKysL5eXlaG5uRiAQ4Ky/IMnJySgvLw/lfr2evXv34tixYyVyufwJzjtfZTbs8pwQsrm0tPRCd3d32FnmxMQEjEYjdu7cyXnfLMuiubkZeXl5CybO5So7EqUUIyMj0Gq12LlzJ8KFhMYrPp8PLpcLLpcLHo8nVO4i+Dh3FuZwOJCamgpgZn8uWOYi+CiRSEKZ2uMl9DMSXC4X2trakJubi5KSkhV5NURyT42Pj0Oj0aC+vj4mq6vW1laoVKqw+V+9Xi+qqqrMIyMj+yil4TdB1wEbUjRnl+Xtb7/9dk19ff288263G83NzTEpV0EpRVdXFyQSCcrLyxe9dqXC6ff70d7eDolEgsrKyritdc6yLBwOB6xWK2w2G+x2O1iWhUgkglQqhVQqhUQigVgsvkYI59b8Ce5pUjpTU2iuwPp8Png8npAA+/1+CAQCpKWlISMjAzKZDKmpqXFrCGMYBr29vfB6vaitrV2WsTCae2lgYABerxc1NTWcu54Fy2Xs2bMH4Vz7mpubceTIkS6j0Vi7Xq3pG1I0MzMzn/zSl7705AsvvJB6/TlKaSgjdSx8JYeGhuB0OrF9+/aIbsjlCqfL5UJLSwtKS0vjLqs7y7KwWq0wGo2YnJxEIBBAamoqZDIZMjIykJ6eHrXAR2sIYhgGU1NTsNlssFqtcDgcEAqFyMzMhFKphEwmizsRnZiYwPDwMHbt2hXViiHae4hSio6ODqSmpqKsrGwlQw6L2WwOVTgI9x345je/6fj973//o8nJyZ9y3vkqsOFEM7gs7+npyQqXwkqtVsNqtWKhDO0rQa/XY2RkBHv37o3qCxntTW8ymdDT07NoYtjVZnp6GgaDAUajEQ6HAzKZDEqlEllZWZzsr3JhPff5fDCbzTAajbBaraF6RSqVKmy6s7UgmPA60gCI5f7osiyLpqYmlJSULCut3FJ0dnZCJpOhsLBw3jmv14tt27aZh4eH99P1WCZjrUOSuDwAEJVK1d7c3EzD4fF4aENDA2dhknMJJhAOF/MbCZGGuV29epWeOXNm1WuthyMQCFCNRkObmpro6dOn6eDgIJ2amopJol6uwyhZlqU2m40ODg7S06dP06amJqrRaGiwzv1a4vF46JkzZ5bMTbDS0Mjp6WlOEhmHw+fz0YaGhgXv0+bmZqpSqdqxDmPT13wAXB5isfgvjx07tmBQdXNzM9Xr9QudXjY+n4+ePHlyxXG9i30JWJal/f39tKmpifr9/hX1s1KsVittb2+nDQ0NtKenZ1WSfsQ69nxqaor29PTQhoYG2t7evuax+X6/nzY1NdH+/v6wP0JcxZJPTU3RkydPxmQiodPp6EITGEopveeee6xCofBOGgfaEc2xYZbnhJAElUp15dKlS8XhLNYGgwHj4+PYtWsXp/1SStHc3IyCggJO/CLDLbcopeju7gbDMBHvlXINpTS0/SASiVBcXIysrKxVG8tqObdTSmE2mzE6Ogq/3x9avq7VZ97Z2YmEhARs27YtNAau61JptVqMj48vGAq5ElpaWlBQUACVSjXv3Pj4OHbv3j1iMBjK6TqqLRRfO+ErQCqVfunuu+/ODCeYDMOgr68PVVVVnPc7PDwMqVTKmSP59X6clFK0t7dDIBCsiWAyDIPR0VGcPn0aJpMJO3bsQH19fVwmKuYCQggUCgXq6+uxfft2mEwmnD59GqOjo2CY1f1eE0Kwfft2CAQCtLe3g1Iakwqoubm5SE5OxvAw98E6VVVV6OvrC/vZFRQU4OjRo1lSqfSLnHccQzbETJMQkqhSqUZ6e3tzwyXDGBgYQEJCAueWQovFgt7e3piEYNrtdrS0tCA5ORkymQxbtmzhtP2lYFkW4+PjGBkZQV5eHoqKitbUYX4twyh9Ph/Gxsag0WhQUlKCgoKCVbe8DwwMwGq1wu12Y9euXZyH4bIsi/Pnz6OqqorzhDJDQ0NgGCbsPTw5OYmqqiqtwWAooZROc9pxjNgQM02ZTPbN48ePZ4T7Y7vdbuj1epSUlHDap9/vj2kIZmpqKpKTk2Gz2WKWSCQclFJotVqcOXMGLpcLBw4cQHl5+Q0dYSQWi1FeXo4DBw7A5XLhzJkz0Ol0WM0JR05ODmw2G5KTk0NO/lwiEAhQV1eHrq4uzkM7S0pKoNPp4Ha7553LzMzEI488kiGTyb7BaacxZN3PNAkhabm5uVeuXLmiDBcO2draioKCAs5Tci0W+bBSgktyqVSKnJycVUnyAczMbru6upCamory8vKwzslrRTwl7PB4PBgcHITD4UBNTc2q/F2C94BOp4PL5UJtbW1MtkcmJiZgMBhQV1fHabtGoxHj4+Nh23W5XCgvLzdqtdrNlFLukzJwzLqfaSoUih9897vfzQgnmFarFT6fj3PB1Gg0ABAzwezu7kZiYiK2bNkS8yQfwEycfG9vLzo7O1FdXY3t27fHlWDGGxKJBNu3b0d1dTU6OzvR29sbk3huYL7Rp7y8HImJieju7o7JTDc/Px+U0tA9zhVKpRI+nw9Wq3XeOalUiqeeeipdoVB8n9NOY8S6Fk1CiCo5OfmLX/nKV+atHSml6O3t5dz44/V6MTg4iJqaGk7bDTI4OAiGYa4p6hZL4TQYDDh37hwkEgkOHjy4ZH13nv8hPT0dBw8eRFJSEs6dOweDwcBp++GMPoQQVFZWgmEYDA4OctpfkJqaGgwODsLr9XLablVVFXp7e8OK/Ve/+tVEiUTyJULIfDN7nLGuRVOlUj337LPPysLFj+v1ekilUs6XTl1dXaisrIxJUgi1Wg2bzRbWSs61cDIMg87OzlCS4uLi4g1pDY81hBCUlJSEkgx3dnZyYmVfzEoetKrbbDaMj4+vuK/rEYvFqKysXDBj0XJJS0tDcnIy9Hr9vHMikQjPPvusTKVS/YzTTmPAuhVNQkipTCY7fM8998wLYqaUYnBwkHOLs1arhVAoDOtztlJMJhOuXr2Kurq6BcWLK+G02+04d+4c0tPTUV9fzy/FOUAikaC+vh7p6ek4d+7civ8+S+1jE0JQV1eHsbExmM3mZfe1ECqVCgkJCdBquS1dvnXrVgwODoadbR47diwhIyPjDkIIt1Zbjlm3opmdnf2LF198MTOc5Vqr1UIul3MqBj6fDwMDA9i2bRtnbQZxuVzo6enB7t27l8xwsxLhpJRidHQU7e3tqK2tRVFRET+75BBCCIqKilBbW4v29naMjo5Gve8YjR+mUCjE7t270d3dDZfLtZKhh6W6uhoDAwOcJi6WSCSQy+VhxVggEODFF1/MzM7O/gVnHcaAdSmahJCK/Pz83bfeeuu8bzylFFeuXMHmzZs57bOvrw9lZWWcu974/X60tLRgx44dEZciWI5wMgyDtrY22O12HDx4MOYW3xuZtLQ0HDx4EHa7He3t7REv15fjuJ6UlIQdO3agpaWFc2OUWCxGWVkZ+vv7OW138+bNuHLlyrwflIGBAXz7298mU1NTnyaE9BFC7ISQRzntnAPWpWhmZ2f/4JlnnplfjAQzLhMKhYLTWig2mw1Op5Nza3nQtai0tDTqbEXRCOf09DQaGxshl8uxffv2uM27uZFISEjA9u3bIZPJ0NjYiOnpxf22VxLpk5GRgdLS0lDUEJfk5+fD4XDAZrNx1mZSUhKysrLmWei3bNmCjo4OvPHGGwkqlaoDgBvA/+WsY45Yd6JJCJEnJSV98rbbbgs7yxwZGUFpaSln/QVdgKqrqzlfyo6MjEAikSxbjCMRTrvdjsbGRpSXl6O4uHglw101GIaB1+uF3W6H1WqF1WpFIBCA1WqF3W6H1+td9ZDG5VJcXIzy8nI0NjYu+jdaqS9ufn4+EhMTMTIyspLhzoMQgurqas5dnMrKyjA8PBy2zdtvv51QSg8DGKOUXuWsU45YnXqyHCKTyf7uscceSwu3l2kwGJCRkcHpLHNiYgLp6emcL2ctFgu0Wi3279+/onbmCuf1X7pg3s26urqYRJGsBIZhQgmCLZYpOBxOTE9Pg2UpWBZgWTJ7AJQCQqEXH3/cAoEAEAjo7AEIBASJiYlITU2BXJ4eSnQcT7NppVIJiUSC1tZWVFVVQaFQhM5xGUteVVWFCxcuQC6XQyaTrXTYIdLS0pCeng6NRsPZaispKQkZGRkwGAzz8nkKBAIUFRWlTk1NcW/h4oB1FRFECBGqVCr10NBQTkpKyrzz586dQ21tLWd1chiGwZkzZ3DgwAFO9zKDJQF2797N2Viv//IZDAb09/dj7969cZFg1+/3w2QyYXxcC4vFCr+fwfS0AE4n4PcLEAgIwDAEQPjZvErlhMEw/28OUCQkUAiFLEQiFikpQGIiC5EoAXK5DAUFuVAoFHFRN8jr9eLixYvYunUrVCpVTJJvuFwuXLp0ifNSLj6fDxcuXMChQ4c4+0FyuVxob2/HwYMH5/WVk5MDgUBgMJvN+ZTS2EQOLJN1NdMUiUR3HT16VBpOMCcnJ5GUlMRpYbGRkREUFBRwbvy5fPkySktLOR3r3BlnYWEhNBoN9u3bt6Yx416vF1evjkOtnoDHMw2nUwCnUwCfTwhKufpCEzAMAcMIMD0NOJ2zzxKK8XEbhoctSElhIZEkorAwH5s2FcSk9nckJCUlYd++fWhqaoLT6YRareY8PFYqlaK0tBTd3d2ora3lrF2xWIz8/HyMjIxwZmSVSqVITEyExWK5JknIe++9h7q6OpSVlUl+85vffA7A65x0yBHrSjQzMzO/98QTT4S9w0ZGRjjNYuTz+aDRaHDo0CHO2gRm3KFYlo1JCGZaWhry8/PR19e3ZoLJMAw0Gg2uXBmF0+mF1UrgdgvBMKsrVJQSTE8LMT0NTE4CCQksNJpR9PePICUlCZs3FyMvL2/Vl/FisRhVVVVobGwMhclyTX5+PvR6PbRaLWcpC4GZ/dkzZ85g06ZNnN1bZWVlGBoaukY0X331Vdx333245ZZb0v7rv/7re4gz0Vw3hiBCSEVpaamqqKho3jmPxwOv18vpPs7Q0BBKSko4/VIFfT1jUQUQAHQ6HQwGA/bv34+urq6YxaqHw+v1orOzG++//2ecO9ePwcEA1OpEOBxiMMza32YMI4DDIYZanYjBwQDOnetHQ8Mp9Pf3cx4uuBjBpCj79++HwWCATqfjvI9gxBDXPpYJCQkoLS3F0FD46rs2mw1Hjx7F1q1bUVFRgcbGxiXblMlk8Hq98Hg8AGaykn300Ue46667UFxcjOLi4mxCyFbO3gQHrP3dHCEqleqxxx9/PGylqbGxMYQT0+UyPT0No9HI+Wywu7sbW7ZsickMcHJyEoODg6ivr4dcLo95ko8gbrcbjY3N+PDDU2ht1WJ0VAyXS4pAIH4MMdcTCCTA40nBzTffhOTkZFy8eBHt7e1hU5dxydw9TLlcjvr6egwODsJisXDel1gsxpYtW9Dd3c1pu/n5+TAajWFdqL7xjW/g9ttvR39/Pzo7O1FRURFRm0VFRRgbGwMAJCcnY3JyMpQD4fHHH89UqVSPcfYGOGBdiCYhJFEgEHz2zjvvnDc9YxgGer0eeXl5nPU3NDSE0tJSTvNkGo1GBAIBTpdLQex2Oy5fvoz6+vqQIMc6O9L09DQuXWrDn/98Bt3dU7h6NREulxiUEsjl8zNOxRtVVTkQi0UoLCzETTfdhNzcXLS0tODy5ctL+lQuh3BGH7FYjPr6enR2dsLhcHDeZ05ODgKBAIxGI2dtCgSCsLNNu92OM2fO4K//+q8BzLy3SHyPNZpp/Pa3Ply+rA7rRnbkyBEBIeSzhJC1t2bOsi5EUyQS3XX//fcnhbMG6nQ6ZGdncyZwPp8PJpOJ01kmwzDo7e1FdXU1Z20G8Xg8aGtrQ11d3byw0VgIJ8uy6O3tw4cfnkRXlxlXrybC6xVhrtXbZovtjG2lEAJs25Yz5/8EKpUKhw4dCjmjX7lyBSzLctLfYlZyiUSCXbt2obW1NbRE5Yqgj2Vvby+nfq35+fkwmUzXLP1HRkagUCjw0EMPoba2Fl/+8pcXDO2klKKhwYqjR7uxaVMjnn56HB9/TDAxMT+0UiQS4f7775eIRKLPcfYGVsi6EM2srKxvHz9+PKyjoVqtDltbebmMjo5ynvFnaGgI+fn5nCfGYBgGLS0tqK6uXtAPk0vhnJycxIcffoy2tnGMjSXC7RYjnIuQ2+2HShVffqFzKSnJQkrKfMMUIQT5+fm46aabwLIszp49u+KlcyRuRampqaiurkZLSwvnTvsSiQR5eXmc1v8JxtiPjo6GngsEAmhra8MjjzwSSqD97LPPXvM6m82PF1+cQGXlJXzqU514800zgm/3rbcS0N4e3jH/+PHjqVlZWd/m7A2skLgXTUJIaV5eXl64chVutxuUUs5cdwKBALRaLaezTI/HA51Ox3m5DWDGdSk/Px+ZmWEjSkOsVDgZhsGlS204c6YFo6MCWK3hxfLa18Sv/2919eJbOQKBAFu2bEFdXR36+/vR1dW1LDGLxg8zMzMTeXl5nO9BAkBpaSm0Wi2nM9mCggJotdpQvHt+fj7y8/OxZ88eAMDRo0fR1tYGAOjocOCrXx1AXl4jvvGNIfT3z1+J6PUJ0Gq9YfeVS0tLkZeXlx8v2Y/iXjQzMjIeePjhh8NWeuJ6lqlWq5Gfn8+pxbyvrw8VFRWc1xG6evUqGIaJ2AC2XOGcmprCRx+dRG/vJCYmxBEbeMxmJ1JT42YbKkRGhgT5+ZHF+aekpGDfvn1ITU2NOt3bchzXi4uLEQgEcPUqt5GDAoEAW7duRV9fH2dtJiQkID8/H2q1GgCQnZ2NgoICDAwMAAA++OAjAJuwf38bamtb8X/+jw5u9+LbHW+8QdDbOxr23MMPPyxPT0+/n7M3sALiXjQlEsm9R44cCZszU6fTcVZ0jFIKtVqNTZs2cdIeMCM4Xq+X83IbNpsNY2NjUZf0jVY4h4ZGcPp0I8bGCOz2a/ctIyE1dW2cyBejujovqs+MEILi4uJQureglXcxlhvpE3QVGhsb4zRBBjCTH9Pr9WJqairs+aKiIlRXV2PHjh3YtWtXRG1u2rQJarU6FD/+i1/8AkeP3gelciuee+4U3n33MBobI/+hOX9ehJERTdh49CNHjiQkJyffF3FjMSSuRZMQopDL5VnhRMdqtSI9PX3J/JORYjKZkJGRwak7UG9vLyorKzndHw0EAujo6EBdXd2y3nskwsmyLJqbW9HefgVqdSL8/uXNvE0mJxIS4idfp1AoQEXF8hJIB9O9WSwWdHZ2LmgkWmlopFAoRF1dHTo6OjhN9RYsk7HYbPPkyZPo6OhAS0tLRG0GLeQGgxHvvjuJ730vAT09L8Bk+hV8vmcARLev7fMR9PcjbB0hpVIJmUymIISEdTtcTeJaNMVi8Z333ntvuIBjaDQaTt2MRkZGON13tFgsSEhIiDrl21L09fWhqKgI4UJJI2Ux4fT7/Th16hwGByeh18+4EC0Xv5+BUhk/eTvLy1VITFx++GZCQgJqa2tDvp3Xl7rlKpY8JSUFmzZt4nQ5DcykkBMIBJz5hZrNPpw+LcFvftOGz3zmMt55ZxIrTWXx1lsEly+PhT137NixFLFYfOfKelg5cS2aSqXywbvuumueyZlSCpPJdE22mJXg8XgQCAQ4DWnr7+/H1q3cBjKYzWY4nU5OthDCCafH48HHH5/G6Oh0RMaeSPB4uItIWSk1NSv3kSWEYPPmzSgqKsKFCxdCxhWuk28UFRXB4XBwXspi69atYZMKE0Lw6U9/GnV1dfj1r3+94Osppbh40Y4vfrEP+fmNePRRHQAGWVncuGd1dgqh05nCLtE///nPS5RK5YOcdLQC4lY0CSFJhJCKcFEFk5OTkMvlnBlXuDYoWSwWiEQiTkU4EAigu7sbO3bs4Gy5P1c4jUYjTp48C7UacLu5y45js3niwtk9OzsNCgV3blA5OTnYtm0bLl68CKPRyHm2IkIIduzYge7ubk6X6WlpaRCJRPNmm+fPn0dbWxvee+89vPTSSzhz5sw1591uBr/5jQ67drVi7942/Pu/GzA9PSNsDQ1ifOIT3Pw4BgIEly8TTE5Ozjs3W6G1cq0d3eNWNAHccscdd4jDCYROp+MssoZSynlig1iU2+jt7UVxcTHnvp5paWmorKxEY2MTtFpgepr7HC5i8drnhamu5j4SKzMzE6Wlpbh48SIqKys5T76RnJyM4uJizpfpwXITcwne/0qlEp/73OfQ3NwMABgYcOOb3xxCXl4jvvzlAbS1Oee1d+GCCPv3+0EIN25m771H0Nurnvc8IQSHDx8WAbiFk46WSdyKZm5u7hePHTs2rwg3pRRms3lJ38RIMZvNyMjI4MygZLfbwTAMp3uZdrsddrud09lwEK/Xi9bWTphMSUhPn4ZQyH1GdKPRgcTEtYtFT0oSoqyMm62cudjtdgwNDWHnzp3o6+uLSeKPwsJCTE1NcRoKm5GRAYZhQm26XK5QGKfL5cIHH3yIqakC/MVfdGDr1mb8/OcTsNkWnu16vQRDQwmoquLm3rl8eeEl+r333puRm5v7RU46WiZxKZqEEMIwzCeuT04KAA6HAykpKZz5Umo0GhQUFHDSFsB9irpguY2qqirOMyP5/X6cPn0OExMCeDximM3JyMpycy6cLEuRmbm04YoQCrE4gORkH1JTp5Ge7oVM5oFc7oZQyEIm8yA93YvU1GkkJ/sgFgcimt1UVuZAKORWtOfuYebl5WHbtm1obm6eZxxaKYQQVFVVLVpugmEY1NbW4s47I7eRlJWVhUpjGAwGHDx4EFVVNSgurkVvbzX+8R9V+PjjyN2eTp0S46abuFuij42RsPH4hw4dAsMwnyRrWEY1LkUTwI5du3YJF4s15wKWZWG1Wjmbtfp8PthsNs4MVACg1+shkUg4TXsHzHzRzp69gIkJGlqSBwIJMRNOu33+LCwhgYVU6kNmphvZ2Q4oFC6kpPggFLJgGILp6QS4XCI4HIlgGAKXS4Tp6QQwDIFQyCIlxQeFwoXsbAcyM92QSn1ISJhvkNi2jduleTijT1ZWFsrKynDp0iXOQyFlMhmSkpKg1+vDnv/nf/7niDMKBVEoFLDZbJiensb4uBxbt57A4OAvYDL9GnZ79O6QfX0JKC9nIBRys0R//31geHhi3vMikQg7d+4UAtjOSUfLIC5FMzMz89gDDzwQVsmMRiNUquX52oVrS6FQcDaDCxqUuGqPYRgMDAxE/YWIhNbWDmg0vnlGn1gJp9M5DYUiBQkJLNLSvFCpnJDLPRAIKOz2ROj1KTAaU2CxJMNuT4LbLYbXK4LPJ4TfnwBKCXw+IbxeEdxuMez2JFgsyTAaU6DXp8BuT4RAQCGXe6BSOZGW5kVCAiZ9of0AACAASURBVItNm+RIT+duH3gxK3lubi5UKlVMQiErKysxMDAwT5AnJibw3//93/jyl78cVXsOB4OxsTR8/evnccstHfjjH00IBJYveCxL0NUlxPbt3BitWluFGB0N/yPxhS98ITMzM/MYJx0tg7gUTZFIdPTw4cPzlMfv94NSypkDOpcGIEopJiYmOF3qq9Vq5OTkcF6eYWRkDGq1GTZb+H1c7oWTIjExALHYjMxMNxhGAKNRCpNJCocj6Dy/kh8aAr8/AQ5HIkwmKYxGKRhGgMxMNySSSRiNRk4qKUbiVlRSUgK/3x8KL+SKpKQk5OTkYHx8/JrnH330UfzsZz+L2JPk8mUnHnlkELm5F3D8+BS2bnUB4GZ2eO6cCAcOcLM94XAIYLP5w253HD58mIhEors56WgZxJ1oEkJycnJy0sIZUsxmM7KyuAkIYFkWU1NTnC17LRZLyJ2DC1iWxdjYGOeJPmw2G7q7+6HXL+6HyY1wUiQl+aFSuSCV+mA0iuB2y0N5N2MFpQQulxhudyZ8PhatrR34+OMG6PX6ZYtnpH6YQVeh0dHRBUMWl0tJSQlGR0dD0UjvvPMOlEol6urqFn3d9DSLV1814NChdtTUtOBXv9LC5WLh8RCMjSWgooKbFcWVKwkoKWEgEHAjwpcukbB+qjKZDDk5OWmEEG5iqKMk7kQTwN7bbrstrGMflw7twWJOXC2lr169ymnc+vj4OLKzszmtKMgwDJqaLkGjEUUkWisRTpGIgVLpQnKyH2ZzMiyWZPj9CUhL49ZlajFycpIgECQAEMPnI2hv78KpU6ejFrNoHdeDoZDt7e2c7m+KRCJkZ2djYmJmr+/8+fN46623UFRUhHvvvRcNDQ34whe+ELperfbiu98dQWFhI+6/vw/nzs1/33/+sxif+hQ3BhxKCQYGhNi6lZv3fOGCAAMD4cuB3HrrrRIAezjpKEriTjSVSuUt+/btC5vr7fqqdStBr9dzZlAKBAKw2+2cjY1lWYyOjqK0tJST9oJ0dFyGwUCjKkURrXASQkNWb6tVAosl+ZoaQZOTLqyG3VMgIAD+x6eQEAEAMdxuBhcuNKKzszMiQVtupE9KSgoKCwvDRt+shJKSEoyMjIBSip/85CeYmJjA2NgYXnvtNXzyk5/E73//7/jwQws++9nLKC5uwo9/rIbRuPCSubc3AaWlDMRibmaHzc1C7N7NzRK9ry8BJtN8J3cA2L9/f4pSqbyZk46iJO5EUyQSHQy33PD5fBAKhZy5GnG51DcYDFCpVJzNWrVaLRQKBafJQ8xmM9Rq/Wy2ouiIVDiDs0uGITAapWETfUxPB6BSxT4ePT8/FZTOH6tAkABKE6HRGNHQcHLRWedKQyOLi4ths9nCRrd4vV7U19dj+/btqKqqwg9+8IOI2kxMTIRCoYBGo7lurAGMjHiwZUszbrutC2+9NYnIEs8TtLSIUFfHjQHn8mUhamq4acvvJ7DZ2LDF4erq6iASibgtFRshcSWahBDCsmxeOOMMl7NMj8cDsVjMqa8nl8lDuN7LZFkWly61Q6dbfjz5UsIplfogl3tgsUjgdCYu2o/Px11Y4EJIJAv3QQgBISL4fAQXLjSGTffGRSw5IQS1tbW4fPnyvKxIiYmJaGhoQGdnJzo6OvD++++jqakponaLi4tDY750yY6HHurHsWNi9PV9D0ND0ScaPndOhEOHuFmi+3wEDocAmZncxKK3tZGwCUby8vLAMEz+WvhrxpVoAsgvKioK+zlwKZpc7o0GAgG43W7OQujsdjuEQiGn4ZIDA1dgsdAVl9INL5wzy3GJxL/g7PJ6LBY3MjJit7cpk0kQCCxdpyg46+ztHUBXV1fISMRl8o3k5GTk5ORcUxoCmBHUYKYqv3/GShzp95+QROh0ARw+3IT6+jb827/p4fUuX6SuXhVApWKRmMjNEr2zk7vZZmsrwcjI/MJwsyU3CADuZisREm+iufPQoUNhjUBciyZXiYG5bAuITTnioaFRWK3cGJSuFc4AMv9/9t40uq3zPBd9vr0BECAIEJzAmSIpjhIHkRpITbbizEmXexqvnHvtpDlp0+b0tJmak/hmNffEp03a3iR2mpwmtpt0pW3StHbSpINdO44TzSJFSiQliqREiZNIECQ4Yp73/u4PCDQlbJAA8ZKC7DxrcVnGJr9vA9j72e/4vHkRy2ZpKTOpjLhOR5fguhcFBeqE46YRotJgdnYePT29sNvt5OIbNTU1mJ6ejplyKUkS9u3bB7PZjHe+851royLiYWzMi899LtIH/vWvh1BaGqs7uTUwXLmiJquxvHKFrl7zxg0R8/PKSk/Hjx/XAWgn2SgJpBVpms3mh48cORLTb8c5RzgcJonxcc7hdDrJbgjqhNLy8jJZ8T4QSf4sLIikJT4R4tShqCgSv3Q4tEjW7V9cdEOtpr/8NBoRspzcONwocS4v23H+/Hm0tbWRim+Iooj6+vqYpJAoirhy5QosFgt6e3sVi+IlieM//mMJ73nPVdTW9uKZZyxYXQ2jr0+F5uYwaQLn0CGaBM7UlIBdu2gy6C6XAK83pFgqduTIEUNBQcFDJBslgbQiTbVafby9PfbB4Xa7yYan+Xw+6HQ6kqQN5xyrq6tktZ7RYnuqMI3X64XNtgyvl1pliCM7OwiXSwOtNrylOs5wWCaVaouitDQLWynW5lyCJAXBmBo3boySFMOvR3FxMRwOh+LgMJPJhBMnTuDnP//52ms2WxB/8Re3UV19Eb/5m0N47bW7rUpZZujujqgLUeDWLRE1NRIoCt05Z1heFsg0NmdnGdzuWHWl9vZ2ZGRkvHVJ804SqFxpEqTD4SBTDaJ086MWK2XWnDKhNDg4goUFARRiwuthMvnvWJi6lArgXa7A5r+UJNTq5JWGOJcQDnuhUmVCEDKwsuLA4OAg6XlFxYujkmyLi4trc4B8Ph9++ctfor6+HufP2/HEEyMoL+/GF784ienp+J/RuXN0pCnLDNPTInbtoiG6GzdENDZSuftQnJlUXl4OSZLopb82QdqQJoCSiooKxSSQw+FAdnaMStyWkK4JpVAohEAgkNIYi/Xw+XxYWFiCz0drZWZmBiGKHHZ7pLUzlQJ4l8uP/HwaDwIACguzIMvJEfF6wmQsmsRSw2qdjztEbWZmBm9729vQ2NiIvXv34lvf+lZCexUVFcFut6+NdX7b296GlpYW7N9/ECZTB774xSIcP34F//zPCwiFNrf4rFYRubkcWi1dAocqFnn9Ol2R+40bDFNTsWVbjDGUl5czxhi9WOoGSCfS3H8nsBsDStK02+1kVislaUZrPalw48YtLC3RWplqtQSDIYiVFd1d66ZCnKJIdwnm5CT3XpUJM3Izcq7B9es3FC0clUqFZ555BtevX8fFixfxne98ByMjI5vuxxjD7t27MTk5iZaWFvzjP57HQw/9CyyW5/Dyy7+Ba9c8SZ0/AFy+rMKBAzTWJmXWe3w80lJJgclJEUtLyjJ1x44d0wHYuI+UGGlDmvn5+Q8dOXJEMcgVDAaRkZG6wr0sy5BlmURwmHMOv9+PzEyaUQ6U4iGyLMNqnYPHQ5mhjigILS/rFJNKWyXOhQUXSSY9M1ODUCjxBFA8wowiQpxqXLp0OaZzqLi4GNHYu8FgQGNjY0yxeTzk5xdhdHQWjzzSj6amS/jOd6xwubZOLt3dahw+TEOaS0uR+koKBXa/n0Gj4SR96A6HAL9f2YM4evSoIT8/f0fjmmlDmlqt9rhSJ1AoFCJTVXe73TAYaJIPLpeLbC1JkuDxeMjWm521wulk0Ok0KCnJJiGl7OwAvF71hi2YWyFOzoGcnNQfPMXFuoTLjDYjzCgYExEKcQwPD8f9nampKQwMDGxaLmSx+PHUU5OoqurFv/6rhEBAuT0wWdy+LaCkRCbTsZyZEVFeTpXAEVFaSrOW2w1FxaP9+/cjIyNjRzuD0oY0w+FwiZKsmtvtJovzpWts1G63k4qHjI6OYXVVBZ8vBKvVAb8/hMJCw5bjh2q1hIyMMFyuzUu+tkKcq6veTQiPY6OsriAwiOLmxexA4oT5BlSYnZ1TbLd0u9147LHH8M1vflOxRIlzjl/+cgWPPTaEysqL+LM/u435+SBef12Nd72Lakonw82bqjuZ79Rx44ZIFoucmKBz0aenBcUMekVFBSRJemvGNNVqtUqJNKLjLShAaR1SxkYpZx75/X54PIG7un84B2w2F5aWPDAatSgpyU6iRpLDZPJjdfXuOOZGSJY4fb4QzGYDAH4nbhpAfn5EkT3y44ZaLa/9f36+BwZDAGp1pESmpMQAWd7cRU2eMCNuuiyrMDBw5a4ypFAohMceewwf+tCH8IEPfOCuv1ldDeGb35xBQ0Mv3vnOQfzsZ0tY7+HPz4tQqThMJhorbGhIRFMTTSxybCwi4EGBmRmBzGq9cYMrjr9gjEFNKQWWANKCNBljuszMTMWr2Ov1ktVoUhKw0+kks1opxUNmZmZht8cnN6fTD6vVAc6B4mIjTKaNBY612jAkiSXUHrkeyRAnYxyMOVFU5IbRGIAsM9jtWszPZ2F+3oD5eQNCIfHOv7Ngt2shywxGYwBFRW5oNI5N6yq3QphRCIIIny+wNm6Cc46PfexjaGxsxGc/+9m13+vvd+H3f38UpaXd+OM/HsfNm/H7wC9eVKOjgyYWOTSkQlMTDdFNTYmorKRZy2IRUVZGZWky2GzKMevMzEyRMUar1L0B7v9s1QiKSkpKFK96r9eL4mIarVGfz0eSuIkmlCgEPyRJQigUIlNnn5qahsez+dcaDsuYm4tMI8zNzYRGI8Jmc+Fu7uHIzg5gaWlrn9l64lxaylSIh3IYDEHo9UG43RoIQh6czs3cVoZwWEQ4LMLj0cBk0kCrdYHzIARBA0HQxIQ5UiHMN9ZQYXh4BEVFRbhw4QJ++MMform5Ga2t+2C3h6HTfRyjoy0Jr3fxohqf+IQPr72WeoJzdVWA0RiJa4bDqYV4gkEGlYpDFDkkKbW1FhcZCgpoLM3FRQHLy8qkWVxczEdHR4sATJFstgnSwtJEpEZT8U6nJDoAJHFDj8dDGmelcvODwSB8vmDSwhwrK17Mz7ug0ahQUpKNrKxI7FKrDSMUElIS+ohncarVEgoLPWCMY34+C253BvT65EU8zGYdVKoMqFSRTqBw2ANZfmOfewnzr/7qq3j88d/C//gfv5PUPowJCIUkLCws4NixYxgf9+K97/1XzM5+G9PT306KMIFIpjojg0Ovp0ngjI3RxQ+tVhFFRamTnSwzcM5IMugLCwI8HmXLvaKiQgSwY3HNdCHN4qqqKkVTKxQKkaiX+/1+MuUgSjefMjm1tLQEt3vrD4VAIAyr1QG3OwizOQt5eTJcrtQtoXuJU6cLIS/Pi5UVHZzON/rWl5bcUKkSP3+VSljrM2eMQRS1EEUdJMkLWQ4pWpjveMd78OUvf3VL70OWRfT0XMf73z+ImpoefO1rM1he3noscWhIhT17aGKRk5N0bvXsrICyMhoLcXmZITc3ddL0eFjc8chVVVU6ADs2+iItSDMjI6OsoqIixpyk7P/1er1kNZWUpUuU4iEWyzzcbpqvdHnZiVAohIyMTJSUZCMjI7VQRJQ4zWYPjMYAbLasmDhpKCQl1Y8e6TO/++YWBBEqVRYkKYBQyBPjkjc3t8JgSO7zFkUVFhay8dRTOly75kZv7xIoLk3KBM7t23QtkDMzAlkscmFBgNlMc16hEFfkhPLycp1Go9kxibi0IM3c3NwapbhlKBQiUy+nJE2Px0OanKIizeXlZQSDNMLKen0QHo8GbncAVqsDoZCMoiJjSjWVarUMSRLAmKw4nxwAvN7EkyNabbzflcG5DMYEcL71G1YUM9HdbcQHPhDGRz/qQF9fECdPanDiBE250I0bKrKhZhHSpFlrbk5EcTFdLJKKNN1uZWuzpKSE5ebm1pJskgDSgjRVKlWVEmkGAgGSTiDgDXUjClARMOecLPwQCoUQDstkEnA6XfiumeiyzDE/78TqakRAuLjYCFFMfC+1WoLRGMDCgh5LS/q4WXWHw4e8vM0/24ICPSQpNsYVdcnVaj1UKj0kyX9XjHMzCIIAj8eIb39bh3e/24svf9kJz7ruxp4eNQ4epLEOAwEGSQJJ77jHw+7ER1NfizqBQ6V2tLrKYjRJgUiHllqtriTZJAGkBWnKslyy3aRJuRZlnJUqa+5yueD30xCmKMprQXwl2O0+zM05IYoCSkqyYTBs9rnytVEYnLNNy5HU6s2z/7m5sRb1vTHMSJwzE5Lk2zTUo1ZrceNGNn73d4EPftCJV15RTjp4PAweDyOznqanRVRU0FiIKysCcnJSJ02Xi8FgoAmNORwM2dk0ay0tIS5pyrL81nLPJUnKVapTDAQCZO45Vf969OajyMJTVQYAkWJ7j4fm4tRqw/D7NyeuYFCC1eqAyxVAfn4WCguV45EGQxA+n+quGOZGxLmw4IJWG39/rVaFcNh512vxyooEQYQgqCDLyi61JBnwk5/o8a53+fHZzzpgtW5OhgMDEQFgCkQEe2kIeGFBILIQ2Z2YberXk91OR5oLC1yRNAsKCiBJEk13SAJIizpNlUqlEYRY/qaMaVJZmuFwmGwWOaWlubi4ShbP1GrDcDqT+6yWliItbpmZGphMOqyseOH3h8AYh14fxPx8bLVBvDpOWebIzdXDalWeFFlSogdjbxzbrA5TEDIQDrshCBp87WtfwbVrV+FwOPDoo/8V4fB/A/D+pN7r0JAKjz4awK9+lfq1efu2SKaJubLCkJdHQ1BeL0NmJqCgmZwUHA6BrPNpcZEjEIh9+AmCAJVKtWNdQfedNBljmtraWsW7PRwOk5EKlfCH3+8njbNSuuehEI3joFZLW17L6w3C6w1CEBgKC41gzAG3O/4UzHjE6XAou8eMASqVb208bSKF64wxCIIGsgwcOvQ19PS4kMDI87i4fZtunANlec/KioDcXJq1omTn9ab2IPZ4QFaL6vczuN3KHoNWq1UxxtScc5on0AZIB/c8NzfON02pcATQuNTBYJDM+qWsHQ0Gg5Dl1N8fY/xOLDO1tWSZw2ZzAHBDFA0oLs6GSqV8uSm56h5P8E4/+t0oLjasudqJEKYoinA4svHtbxtw86YbX/+6E/7kxd3veW8MwSAjmd7ocDAYDHQ1kVSjc+likXR6rj4fg9erTJq5kWLQHXHR04E01RqNRvGTDYfDpKRJAaokEEDrnssyB8UFmoqVGbuWjFBIhMMRxNxcxJ0uLjYiOzv2PSsRp1LyJpqg2IwwVSodrl414oknZDz+uAOvvRaE1SqispIqgSMQJXBYwpJ2myFiaVK657RzklKFz8fg9yvHku8YMjtCFunASKp4JCRJUtqRJiWRU8VHw+HwmruaKlQqGeEwDWnem1Ba3++el6eHSiViYcG5Vih+r6u+uOhGVpZmzSUzGCKxSSC+4nogYMALL4TxwgteAHe7+NHRslNTqcd+bbZI/eGdkT8pIRCIWK2BQGrs6fUy6HR0pEk1RoOqDM7nU9bUBAC1Ws2xQ3y26d3BGPs+Y2yBMTa07rV9jLGLjLErjLHLjLFDd15njLH/wxgbY4wNMsba1/3NHzPG+hlj/9c9W8QlTVmWoZQgShayLJNpVVKSpiRJJKIfVK45AIgiJyPNjIwwAgHl97e87IHN5kRGRqTfPTMzEvK41+I0Gt8IXxQVaaFEmCqVBlNT2fjEJ0T8l//ivEOYsbh+XUR9PU3We3mZzqpzOmlKfAIBgCjcDr8fICrsgCyDpP88HGYIh5WtA7VazZAgaTLG3sMYG73DU1+489pexlg3Y+wfGGMb3gCJ3B1/D+A997z2NQB/yjnfB+BLd/4fAN4LoPbOz8cBPHfnhLIAHARwCMAT96yluvOGY8A5Jxu1S0G+AB2RAxHSpFhLkiQyS1MQ+I4SsN8f6Xf3+SIxzIKCrLuI0253QBAiCSBZdtxDmFl49VUD3ve+IP7wDx0YH9+YEOfnBZjNNERntzOYTDRrBYOMZH451TrRtajU4COkmfo6khQNQ8XijuG1KWmyyIXzHUS4ag+AxxljewB8FsCjAC4DeNdGa2y6Cef8LGOs8t6XAUR7/7IBWO/8+zcB/IBHglEXGWMmxlgxAPe6v4s5h40sTQrSpLQ0KQmYytJMV9KMzJpJbC3OI/WZQMQNNxi0WF0VkZ3tgtFohkbjQTjsgkZjwOJiNr7zHR96emKVvDeCLDOS+TdAJJNLkQgCgGAQoMgtBoMAlRyvJAEElyYAIBwGVKrIf1M9JznOha6KKL0k8u4PARjjnE8AAGPsBUR4S0SEn2RsctFu1c/8DIDXGGNPI2KtHrnzeimAmXW/ZwFQyjm/zBi7hgiLf/2etdSqONI2VARFZbFSrwXQZPRlma598o3searYOqG4XAG4XAGIIgNjZqhUCwBkjIwU4S/+wgeXS7l+MxHs3i2TPBg0GqC9ncbVr66WUFgopxxr5ZyhtpamFMpsllFSQvMkbmqSoNPxlDvWVCpAllcVjw0MDBgQUTq6tskyShzVAeBbAP4TwC0Az2+0AEtESeiOpfky57zpzv//HwBnOOc/ZYz9VwAf55y/gzH2nwD+knN+/s7v/QrAk5zzvg3Wbn//+99/4XOf+1xMStXj8UCn06VMnJxzMg3MQCAAxhhJ2RHV+I1wOAyXy4dQKHWyU6lkSFL8FsrEwdey51sFY0CksCJCTg6HGktLckoKQzU1EsbGUh9trNNxFBTImJ5O3RwrL5ewsiLA40n9+4u8v9TPKSdHhlod6TKiOKfJSSFlUWONhqOiQlaUUvzwhz8szc7Ovo9z/ouN1mCMfRDAuznnv3fn/38bwCHO+ScTPY+tWpr/DcCn7/z7JwD+9s6/LQDWT0crwxuuezyENBqN68SJEzGkeenSJTQ2NqZMdqFQCD09PTh27FhK6wDA+Pg4NBoNlIbAJYvTp0/j4YcfTtnatNvt+OUve2GzpU7kOTk+eDxqBIOpJ7uKilyw2ZL/7nJzNSgr08HvdyAQcKGxsRnT05MwGgW87W2tePFFN55/3orx8eQLLp95xoXPfS71B1VDQxjHjoXwt3+bep3tJz/pxUsvZaRsaQoCx9e+5sHnPpe6cXDiRBBZWRwvv5x6ZukrX3HjK1/Rp2xpFhdL+Ju/0eLEiaMxxw4cOLAyOzs7l8AyW+Gou7DVx4gVwMN3/v0IIiYtAPwHgI/cyaJ3AnBwzjd7I+F4ZQSCIJBoalKtA0QHbdG4LaIoxszU3uo6RGFWyDKN0jYQLTVJbC3GgKoqA1pbs5CbG4THs4JAwAWt1oDq6l0QRRH79+/H2NhVfPzjJty82YGf/7wFjz6al/B7p3pfQESZKNUSoSg0mkg8MlWo1TTrAJF4JsGlCYAmnglEzime1xkOhzmARLqBLgGoZYxVMcY0AP5vRHgrYSSSbfpnACcA5DPGLACeAvD7AL7FGFMB8COSKQeAVwC8D8AYAC+ARGYKhEOhkOLVzBgjITtKohMEgZQ0KdZKV9KUJHan7jO+BaXXq1BZqQfnPgSDLng8dxeul5eXrSXLjEYj9u/fj76+Puzfvx/vfncu3v3uXNy+7cd3v2vF9743h8XF+PdNUZEMm43mgzKZ+IYD7JKBRsMRDKa+FtU60bVSnTcUhSCAJFEZIU3lc7pjeG1KzZzzMGPsEwBeQyT5833OefzB9gpIJHv+eJxD+xV+lwP4o2ROAJtYmhSkQmlpqlQq+HzxpwwmAypLU6PRkBMdBQIBFTIyJEXSLC3NRH6+Cl6vC4FAfPGNioq7R7/cS5xGoxG7dmnx539ejS99qRI//ekinnvOivPnY5NFjY0SRkdpamzz8mTMz9MQsNHI4XKlTlAZGZFaTQpotcDCAs1aEdKkiLfzuK24dwyvhOxZzvkriBh4W0I6tFHGJU1RFBGmsOsJoVKpyM5JpVLF7XBIdh0qSzMcFshI0+9XQat947PSaBgaGoxobtZBp/PC43He9TC7lzDz8nKg18dWWK8nTqfzDYm4jAwBTzxRiHPn2nD16gH89/9eDL3+jQ9m374wrl6lIc3CQpkkSQKApBsIADIzOXw+GuswMzP1bHcUVGVeOh3idtCFIlnQHSGLdCDNUDAYVPxUKQmKCmq1moToAECr1cKfqnrEHUTcltQvzlBIhFpNNdNFgFotoaBAg5aWbFRVCQiHnYqWulIv+a5d8XVl4xFnFC0tWXj++XrMzh7BX/91DdratCgpkTA1RXPJV1TQZM4BTjJvCAByc2WsrNCRptdLV1pHAZ2Ox9VZDUaCuW8Z0lxZWVlRPA+1Wk1KmhQuukajiX5BKUOr1ZK5+lQuOufRAvDU1hIEoKbGiOzsLGRlueD1OuKGIpQIU6vNQEFB7oZ7bEacAJCdrcInPlGGn/ykAHv37sIHP2hOauKl8nvj0GhorMPsbA6Xi+Y2zMvjWF6mWSs7m8PhuL/1uvdCp+Nr7bb3YiXytFgm22wD3HfS5JwHfT6f4t1EaWlSEbBWq1VUj94KdDodmaVpMBgILcStW5sGgxrNzdloaFADcCEcBmQ5GPeBFU+tqLy8JKH63ESIU5IkTE9P45FHGvHjH+/F7dud+NM/rURp6dZKtHbtknH7Nk27TGmpDIuF5jaMWJpUpCnDbk99Lb0eJPWnQKRiIStL+Tvz+/3hndDSBNKANAEgHA4HlRI+arWazKrLyMggITuqOCRA654XFORAo6GpEbk3FpkIKir0aG01oLAwBJ/PgWAw8hm9IQAc+9nHI0zGGMrLEx9jvRlxjo2Noby8fC0eVlKSgS99qRJTU5346U/34u1vNyX1XpuawhgaoomN7tolkRFwbi7H8jKle576OlTkCwAFBQwZGbGkKcsywuHwjhAmkCakKYriytLSUszrGRkZZKSp0WhISDNaiE7h6ut0OngprkwAJpMJLuktAQAAIABJREFUej3NDZMoaWZkCNizJxtNTRnQaDzweFyKvxchzfBdUyE30sMsKipQvDk2QjzidDqdsNlsqK6ujvkblUrABz5QgF/+ch9u3DiET3+6FNnZmxNYW1sY167RkGZlpYzbt2luQ7NZxuIixVr8jsZn6teTyUTl5gNmM1OcmrC4uAhRFHfENQfShDQFQbDOzcXWwFNZh9RrUSWDKC1Ng8FApn8oSQIEgcfNehYW6tDaasSuXUAw6IDfv/HnGpkKqYMkecE531RA+N4yo0RxL3GGQiH09/dj3759m7r69fWZ+OY3azE7ewTf/W4d2tqUu2r0eg69npNlzisqJKKEUsQ9X11NnaAMBpoSKIAyNgrk50ORNOfm5iAIwizJJgkgLUgzHA5Pbjdp6nQ6sqRLZmYmiYXIGCMjYLVaDZVKICvv8PlUyMx847xUKqC21oiWlkwYDD54PM6kamgFQYQoahEOexAKeeISZlaWHjk5sb3FiSJKnJcvX0Z3dzfq6+thNBo3/8M70OtF/P7vl6Cvbz+6u9vw4Q8XYv1ggY6OEC5dorEyMzI4RBEkpT16Pb8TO0x9rYICTmSxAgUFMpaWaNbKyeFxSTMUCk2RbJIA0oI0V1ZWxpRIkzKmSUV0AKDX6+HxeEjWMhgMcRMYySIvL48srunxaKDXB2EyRcqFampU4NyZ0mfImADOZUQ0XpUvvYqKkpR78XU63VoTgl6v39IajDF0dmbjhz9shMVyGF/9ajUqK7V45JEgTp+mmRHV0BDG9es0ViZlbLS4WMLcHB1pUlnlWVlcsU7TarXylZUVAg39xJAWpBkIBCzT09MxdyOlBBslaWZlZcHlUo7fJQuj0UhGmmVlRcjKosmgl5XlIy9Pj9xcH7xeR8qVB1GXXK3WQxQjYyvWxziBSDNDaWlhSvs4nU5cuHABtbW1OHz48IZZ9URRUKDBk09WoL+/Ec3N2ejoyCeZ69PUJBEnlGhu5/JyGRYLDQGbzXSkqVYzRU6YmZnxBYPBt5Z7DmBucnJSMbhHGT+kcs8NBgPc7uQEcOMhOzsbDsfW9SHXIz8/H1lZW3fPtVoV2tvL8ZGPdODRR1vQ3LwHgpC65XpvDFMQ1BDFTEiSD5LkX0uqlZYWbnmUiCRJGB0dxZUrV9De3o7i4uKEypGSwdTUBDo76/Hyyy0YH+/Ak0+WIz9/66q/TU1hjIzQkGZVlUQy+wigLYPKy+MkBfd6vbKVCQCTk5M+AIkoHJEgXUjTOj09rWjKUGWYo4kAiqy3Xq8nJU273U6ylkajgU6ngSgmZ20WFRnxznc24Hd+5zCOHt2N7OyI3JnZbIZaLYLzrVuv8ZI+giBCpdIDYAiH3ZCkAEpKzEmvHwqFMDExgbNnz0IURRw7duyuGCYVcXq9XrjdbhQUFAAAqqp0+OpXd2NmphM/+EEDOjsTj5sCQH6+jECAkdUw1tRImJigIc2SEomkrz6aTKToOzebZej1yjJ809PTEpKUd0sF6TLqcU4ppgm84VYrCY8miygBbzXOFYUgCGCMkQxZE0URarWabJxvZWUFrNZxOJ0bx91UKgF1dYVoaSlBQYGyviRjDHv37sGVK9cAJB/H2yxLHsmqZ0AQNMjIEHD16hVkZWWhoKAAeXl5yMzMjMl6y7IMr9eL5eVlLC4uwu12o6ysDMeOHYtriSiJfCSL0dFR1NbWxriHWq2I3/7tIvz2bxdhYMCFZ5+14p/+yQavd+MHTWdnCN3dNLdfTo4Mp1MgUSWKqhulKhgM0CeU8vKUr9O5uTkGYJ5kowSQFqTJOfdXVFQoXmWZmZmkSRe3250yaQIRC9HpdCI3d+NWv0SQn5+PpaUllJWVpbxWeXkpTKYxxDOqTCYdmptL0dhYiIyMzV3LoqIi6HSj8HgkCELilsxmhLkejDHs2dOIoqICOJ1OLC4uYmRk5C4Pw+Vy4fTp0wAi10Rubi5qa2thNBoTin2nQpx2ux0+nw+FhRvHW9vaDPje9+rx9a9X4+//fh7PP2/F6KhySKizM4Snn6YZ9xgptqexMisr6dz8sjKJLDZaUcFRWKhMml6vV+Kc09TuJYC0IE0ACIVCYaX5OwaDAbdv3ybZw2AwwOVybXrxJwKTyQS73U5GmhaLhYQ0tVot9PoMiKIMSYo85RkDqqvz0dxcirIyU1IJNsYY2tra0NV1EZwLCf1tMoQJABkZGhQW5oMxhuzs7BivgnOO06dP48SJEwmftxK2QpyccwwNDaGlpSXhz81kUuMznynHpz9dhpMn7XjuuVn8278trYn6FhVJCIcZWadMU5OEU6doJqrV1EgYH6chuvJyGTMzNO+xoYEpjobhnCNE1aKXINIlpgmVSmWdmZmJeT0rKystky65ublYWVkhWctkMmFlZYVM87O+vgY5OWFkZmpw8OAufPSjnXjf+5pQXp6zpYqE7OxslJQUIRERmWQJEwDKyoo3LD5nTDlruhUkG+OcmJhAbm7ullx6xhje/vYc/Mu/NOH27cP40pd2obhYg3e+M4Rf/IKmbAngqKsLk8wFAoCGBgk3btCsVV1NF2etqJAVx95MT09DFMUdi2cCaUSafr//XF9f7Pw1SqUjylKhqNVKAVEUodfrydYrLS1Bfr6Ij3zkEDo7q5CVlXqstKmpCWo1A+fxs+lbIUwASfWZUyBR4nS5XLBYLKivr095z9LSDPzpn1ZhcvIQfuu3RGi1+SmvCUTEQ6xWmngmEBnyRmUdlpZKmJ2lqtFU1tLs6+tDIBA4R7JJgkgb0lxaWjrb1dWlyBpUfeOCIEAQBBISZoxBq9WS1X6WlJTAaqV5YAqCgNLSYthsdLFxURRx8OABMBZStIi3SpiFhfnQ6VIn9WSxGXGGw+G1FkyK2fRRLC7Oo76+FL/6VRuGhw/iE58ohdG49fUPHw6hu5vGNc/Pl7G8LJCMcNZqI6M3KDLn2dkytFrlAW8XLlxwLS0tnU15kySQNqQJoO/cuXOKUXNKtzoai6RAQUEBFhcXSdYqLCyEzWYjWQsAqqqqMD4+TubyA5HPrrGxAYzdLfW2VcIEtt5nToF4xMk5x8DAAKqrq0mqNtavOz4+jqqqKgDAnj16/PVf12J29jCee64Wzc3JJygPHAjj8mUa0mxtDWNwkCbNsXs3nWteVSUhP19Zier8+fM+AHFHhG8H0ok0rdPT01zpJk/XWCQlaarVamRkZJC56DqdDiaTCfPztJUYlZWVKCkpAmOR2HsqhKnX65CXl0N6fslCiThHRkaQmZlJMqZ5Pebn52EymaDT3V1vmJWlwh/8QSmuXj2Ac+f24YknzFCrN7fQSkslrKwwsrEUra1040AaG8NksdGGBo7KyryY1znnmJmZ4Zzzt2ZMk3POBUGYsVgsMccoC8ApSdNoNMLlcpFZc5QuOgDU1tZibGyM1NoEgJaWFuTkZEOWA1smTCAiNEzZKrtVrCfOoaEh+P1+7Nmzh3QPzjlu3bqF2trauL/DGMOxYyb86Ed7MDNzGH/+51WoqIg/d/zYsRC6umisTEHgqKiga8VsaJBw/ToNAe/bF/Fy7sXMzAxEUZwm2SQJpA1pAkAoFDrX398f83pWVhZZrWZU7YhqNLDJZMLq6irBmb1BmlQkl5mZCaPRiHiNA1sFYwwNDfXgPARR1GyJMAVBQFlZEel5pQKj0Yj8/Hzcvn0bu3fvJifzubk5ZGdnIzMzsdrMwkIN/uRPdmFiohP//u9NeM977i5tEwSOw4fpSLO2VrqTgU/9fTPGkZdHp25UWsoVM+f9/f0IBAI7Gs8E0ow0FxYWznR1dcXUFzHGoFKpSBSPGGOkIhlFRUVkLrBKpUJeXh5pbLOhoQGjo6Mko4KjcDqdGBgYwLFjx5CXZwIQf5xFPJSUmON28Ow0OOcYGRlBMBjE0aNHMTAwQHZ9AG/0xTc0NCT9t6LI8Oij+Xj11RaMjXXgf/7PMuTkqLB/f0QImWrO+aFDYfT20nwfEWFlGtfcYJCRmalWfIh1dXW5FhcX39qkCaD/3Llziulo6ljkAtFQZ8q1gEjMcGpqimy9jIwMlJeXY2xsjGQ9p9O5VhxuMpnQ0XEIpaVFSJY4KyriT5rcSYTDYVy6dAkA0N7eDpPJRCryAUTGbVRUVChqQSaD3bt1ePrpGszOHsbnP6+G1UoVD+bYty9EFs+kHJXc0CChqEi5POtO4jjWNd1mpBtpWqamphSTQemawFGpVMjMzCS7wYxGI8LhMJkiEwBUV1djbm4u5fKo9YQZLfZmjKGlpQV79tSDsUCM3JsSsrMNyM5WbonbSURl5IqKirBnz541a4ZSHcnr9WJubm4tY04BzgMoLlbhlVc60dvbjt/5nSJotVu/lXftkmGzCSTTNQHahNL+/RzV1bFCLpxzTE1NcQA7JgkXRVqR5p1k0KxSMoSSNHU6HYLBIJnLWlpaitlZuu+usrISExMTZOsJgoDm5mZcuXJly/FSJcJcj8rKShw5chgaDQfnyrWcUWw0z3wnwDnHxMQEBgYG0NbWhoqKipjfoSDOaOlSc3NzQpM1E8Xk5CQqKysBAAcPGvH97zdgdvYwnnlmN2prlZWANsKxYyGcO0fToaTRcBgMdFMx29u5Yqvy7OwsRFG0KFpY24y0Ik0ACIVC55U6gzQaDcLhMBnRRUUyKBCtsaTMoi8uLpKp1gMRVXej0YjJycmk/3YzwowiOzsbjzzyNpSVFca1OtVqFYqKCpI+Byo4HA6cP38efr8/RkbuXqRKnJOTkzCZTMjLiy2X2SoCgQAWFxdRWnr3gyc3V43PfrYcN24cwmuvteA3fzMPifE0x4EDIfT10ViGzc10tZ5qNYfJJECjiSX0vr4+hEKhHe0EiiLtSHNhYeF0d3e3Yqqc0tqkTuAYjUaycxMEYa04nRKNjY2Ynp5Oqpc/UcKMQhRFtLS04MiRw8jMFAEE7tLjLCsrJu2wSRRerxf9/f0YGhpCa2sr9uzZk9B5bJU43W43pqent5T82QgTExOorq6Om90XBIZ3vSsX//ZvzZic7MQXv1gBszl+gmfPnohAB2VC6dIlmoRSY6OEggLlB05XV5d7YWHhDMlGSSLtSBPAxddee00x+EYZi4wSMJV1uGvXLjI1JgAoLy/H/Pw82Yx1IEJobW1t6OvrS6iVNFnCXI/s7GycOPEw2tpaodFwAEHIsrTjHUDRTP/ly5dRVlaGI0eOJP1ekiXOcDiMvr4+tLW1kT4gQqEQ5ufnE1bDqqjQ4itfqcbMzGH80z814vjx2O6md7wjiF/9isY1Z4yjvp6uqP3IERn19cq6BK+//roPQA/JRkki7UiTcz43NzfnVCpmp3SpBUFAdnY2WY1lbm7u2thYCgiCQB7bBCJkVlVVhatXr274wEiFMKNgjKGoqAhvf/sj2L9/H4zGDAwM9OP27dukD4N7EQqFcPv2bVy4cAEjIyMoKyvD8ePHYTabt1x/mShxcs5x5coVVFVVkbZgAhErs6qqKun4qEYj4PHHC3H2bBsGBw/gD/6gBHq9AJ2OY9cuiWy4W21tpHWSot8cAA4e5MjPj82cr66uYm5uzsk537ERF+uRdqQJAKFQ6F9effXVmDtarY7Ua1HF+ig7cBhjKCsrg5K83VZRUVGBubk5stno69dVqVRxCZmCMNeDMQaz2Yzjx4+hvb0dgUAAXV1d6Orqwvj4OBwOR1LjgO+FLMtwOBwYHx9fWzcYDKK9vR2dnZ0oKCggKVZPhDgnJiagVqsVk0upwO/3Y25uLuXWzubmLDz3XB2s1iN49tlsjI5GRo5Q4NixEC5coHHNDQYZJpNasZb31Vdf5aFQ6CckG20BaSNCvB7Ly8sv/uhHP/rY448/HvOYMZvNsNlsJH3BZrMZ169fh5L48VZQUVGBrq4uVFVVkawniiLq6+tx/fp1tLW1pbzeejQ1NaGnpwc6nQ4lJW+4zNSEeS90Oh3q6upQV1cHn88Hm82GsbExuFwuqFQq6PV66PV66HQ6aDQaqNVqCIIASZKwsrKCUCiEYDAIn88Hj8cDt9sNSZJgMBiQl5eHtra2mN5uSmwkZGy1WmGz2dDZ2Um+78jICOrr68ncfYNBRGWlE48/fhRPPOHDc8/N4qc/XUI4vLVwlSBwtLSE8YMf0ChW7d8fRlWVchjiH//xH5eXl5dfJNloC0hL0gRw5fLly+FQKBTzpCkuLsbo6CgJaQqCgJycHCwvLyu6AclCo9HAZDJhcXERZnPyQ8KUUFRUhMnJSayuriInh07cIiL1dhDd3d3QaDTIz8/fdsK8FzqdDpWVlWvlM6FQCB6PBx6PBz6fD263G8FgpGg+EAhgZmZmjUj1ej3MZjP0ev2OdxYpEefS0hLGxsZw+PBh0vIiIOKOBgIBFBXRtZ0uLi7CZDIhIyMDDz+cgYcfNmF+PoDvfW8O3/3uHCyW5KQYGxsl3Lwpkul6vuc9wO7dsaQZCoXQ398fBnCVZKMtIC3dc845F0Xx1Pnz52OORef8UNZYUrrU1dXVZN03QMS1bWpqwvDwMLnwhlqtxqFDhzA0NITZ2dkdJcx452MymVBaWoqamho0NjaitbUV+/btQ2ZmJlpbW9HY2IiamhqUlpbCZDLdt1bM9cQ5OzuLoaEhHDp0iPx8OOcYHh7G3r17Sfvhx8bGUF1dfddrRUUZ+F//qxKTkx342c/24h3vSPwhfeJEEGfP0iSUVCqOykquON7i3LlzEEXx5P2oz4wiLUkTAKxW6w9efPHFGD04xhjy8/OxvLxMsk9+fj7sdjuZOrzRaIQoimSqTNE1jUYjpqfpBV20Wi0aGxvR39+Pmpqa+0aYDyKMRiNqamrQ39+PxsZGkmmi92J6ehrZ2dmk34vdbocoinHXVKkE/NZvFeD111sxOnoIn/lMGUym+E6pVstRUyNheJgmdNDcHEZxsXLS7oUXXrBbrdYfkGy0RaQtaQI49corrwSVHijFxcWkCZztkGS7desW2XoAsGfPHkxOTpK2VwKRGObIyAg6OjowPj5O9jB6K2BpaQnj4+Po6OjAyMgIqcgHEKktnZycRGNjI+m6m0nUrUddXSb+6q8i/e5/+7f1aG+PVRs6ciSitkSh+A4A730vx549seE3zjleffXVEIDTJBttEWlLmpzzAOf8+vXr12OO5eXlYXV1NaWM63pUVFSQWnG5ubkIhUKkN5FKpUJTU1NKrZD3Yn0M02w2o6OjA0NDQ+RScm9GzM3NYXh4GJ2dnTCbzeQiH9HSpaamJqhUdKmHaFlcslNUMzNFfOxjxbh8eT8uXmzHRz5SiIyMCEk+8kgQp07RuebNzVyxi2pkZAQARjjnqc++SQFpS5oAsLCw8Pc/+9nPYkyrqItOVeiu0+mgUqnI1OGBiCTbjRs3yNYDIqGErKwskiJ6paSPTqfDkSNHMDU1hVu3bpHHUN8M4Jzj5s2bmJqawpEjR9ZcckqRDwCYmpqCwWAgSVCux40bN1LqUmKMoaPDiH/4h0ZYLIfxzW8WAxDJtDNbW8MoLlYuEfvpT3/qW1hY+HuSjVJAWpNmMBh8+YUXXlDs+aMWyaiurt5SX3Y85ObmQpIk0tgmEGmFnJqaSmms8UZZcrVajY6ODni9XgwMDJDqcD7okCQJAwMD8Pv96OjoiEn6UBGn2+3G7du3yd1yu90OWZaTtjLjIT9fg4cf9uH3fq8dr7zSjN/4jTykmqt69FGO5uZKxWMvvviiOxgMvpzaDqkjrUmTc764srKypKRXmZOTA4fDQZbAKSgogN1uJxXJ2LNnD0ZGRkgtNpVKhX379iXcCnkvEikrEgQBra2tyM3Nxfnz58ljdQ8inE4nzp8/j9zcXLS0tMQtK0qVOKMtmPv27SN1y6NCy5REHAwGYbfbYTab8d735uGll5oxMdGBL3yhAgUFyVcRaDQcDQ1QLK1bWFjA6urqIuecpiUwBaQ1aQKAz+d74aWXXooxdxhjKC4uJou/McZQUVFB2j+enZ0NrVZLKlIMROalVFZWbtoKeS+SrcOsrKxEW1sbBgYGMDk5+ZZ01znnmJycXJORi9aUboStEifnHFevXkVlZaXiTJxUYLPZoNVqSVs7b9++jYqKirtc6cpKHf7yLyP97j/8YQMOH04863/sWAjV1aWKrvlLL70keb3efyY58RSR9qRpt9t/9PzzzyvKB1EncCoqKmCxWEhd0sbGRly/fp0saRXFrl27IIpiwirvWy1cNxqNOHbsGFwuF7q7u1MKCzxocLvd6O7uhsvl2lRG7l5shTgnJyehUqmwa9eurZ6yImRZxo0bN0itTEmSYLFY4raLZmQI+PCHi9DV1Y6Bgf34+MeLkZm5Md089hjHnj3KYs3PP//8isPh+KeUT5wAaU+anPPx2dnZWaU+6czMTDDGyIauqVQqlJSUQGki5lah0+lQXFxMLrwBAM3NzbBYLJuWCaXa6ROVe2toaEBfXx9GR0fJHwLpBFmWMTo6ir6+PjQ0NKClpWVL7YvJEOfy8jJmZ2fR1NS01dOOi/HxcZSUlJC2l87MzKCkpCShEMK+fQb8zd/Uw2o9gm99qwYNDbHD5YqKJJSUaBUHz42Pj2N2dtbCOae/ibaAtCdNAFhaWvras88+qzgQnNrarKqqIndFa2pqYLFYyGssRVHEgQMHcO3atbjz0ilbI3Nzc3H8+HEIgoCzZ8/CYrG8qVx2zjksFgvOnj0LQRBw/PjxlJMmiRCn0+nEtWvXcODAAXKtUZ/Ph9nZWezevZtszTujJpIe4ZGdrcKnPlWGkZGD+NWvWvHYY/mIvt1HH5XQ1lat+HfPPvusa2lp6WupnjcZOOdp/wMgo7i4eCEYDPJ7EQ6H+cmTJ7kkSTHHtoqhoSE+PT1Nth7nnNtsNt7T00O6ZhQOh4OfPHmSe71exdcdDgf5nn6/nw8ODvIzZ87w+fl5Lssy+R7rcerUqW1bW5ZlPj8/z8+cOcMHBwe53+8n3yPed+H1evnJkye50+kk31OWZd7T08NtNhvputPT03xoaIhkLYvFz//3/x7jL774cx4Oh2OOB4NBXlRUZAOQwdOAizjnD4alyTkPyLL87y+//HKMWSOKIoqKikjLj2pqajA+Pk7qgprNZqhUKtLOoyiMRiNaWlrQ29u7lv3fbvGNjIwMNDc348CBA7BarTh79iymp6cfqBIlSZIwPT2Ns2fPwmq14sCBA2hubk55aqQSlCzOYDCI3t5etLa2KvZZp4q5uTmoVCoy8RggEroYHx9HTU0NyXqlpRn43d/VoLm5QtHKfumll2TO+b/z+1zQvh4PBGkCgM1m+8YzzzyjWG6wHWNvzWYzaWwTiMixjY6OkpY1RZGXl4e6ujr09vZiZWVlx8Q3MjMz0dbWtlbbefbsWVy/fj2tE0ZutxvXr1/H2bNn4fV60dHRgba2NsV4GiXWE+fKygp6e3tRV1dHVje5HsFgEKOjo+QxUovFArPZTPpgmZqailuV8MwzzyzbbLZvkG1GgAeGNDnn18fHx21KBeg6nQ5arZZMhR14w9qktJw0Gg3q6+sxODi4LbHA4uJiFBYWoqurCy0tLTsqvqHVatHQ0ICHHnoIBoMB165dw7lz5zAxMUEey90KfD4fJiYmcO7cOQwNDcFgMOChhx5CQ0PDtghtxEPUK+jq6kJhYSGKi5XHOaQCfqd0qb6+XnEo2VYhSRKplQlEZO+0Wq1ikmpychKTk5PznHPa1roU8cCQJgAsLy9/+ZlnnlGMpu/evZt0EJlGo0FZWRlplxAQUYsXBIHcigUiLrnFYkFjYyOGh4e3xaLdDKIooqysDIcPH8bBgwfBOUd/fz/OnDmDkZERLC0tkTUkbIRwOIylpSWMjIzgzJkz6O/vB+ccBw8eRGdnJ8rKyu7LgLdgMIjh4WE0NjbCYrFsS+OAxWJZqwShxOTkJMrKykiJeGxsLG6S6utf/7pzcXHxz8g2IwLbDotnu8AYUxUWFk6PjY0VZ2XFqq2cP38ebW1t0Ov1JPtJkoSzZ8/i6NGjpBdKKBTChQsXcPDgQbJzvTeGabPZcOPGDXR0dOyoJRUPoVAIS0tLWFhYgMPhAOccJpMJ2dnZyMrKgl6vh1arjasZefr0aZw4cSLmdc45/H7/moq7w+GA3W4HYwzZ2dkwm83Iz8+/b7qb6+H3+9HT04OGhgYUFhZuS9zZ4/Hg0qVLOHr0KOl7DgaD6OrqwvHjx8keNh6PBwMDAzh27FjMMbfbjZqaGqvNZtvFOd/+p2wSSFfldkVwzsO5ubnP/93f/d2ffPKTn4wJqtTU1GBsbAytra0k+4miiJqaGoyOjqK5uZlkTSDS393S0oL+/n4cOXIk5YtQ6eYrLCyEIAi4ePEi9u/fvy2JhmSgVqtRXFy85o5KkrRGcHNzc/B4PGuzkARBgFqthkajWftsfD4frly5AkmSEAwGEQqF1hJ1Wq12bUxGeXk5mpqa7osVuRFcLhf6+vqwd+9eFBRE5r5vNDpjK5AkCf39/WhtbSV/SIyOjqKmpob0cx0bG4vr6n//+98PBoPB59ONMAE8GCVH638A5FZWVi4olRjJssxPnz7NfT5fzLGtQpZlfu7cuW0p2xkbG+ODg4MprbFZWZHD4eCnTp0iLzvZToTDYe7z+bjD4eArKyt8ZWWFv/7663xlZYU7HA7u8/kUy1PSFTabjZ86dWrD74iiNOzq1at8bGwspTWU4HA4+Llz50jLynw+Hz99+rTimpIk8V27di0CyOFpwDn3/jxQMU0A4Jyv+P3+k6+99lpMXIExhurqatLYZnTcxLVr18iTN9XV1fD5fFuObybi3hmNRhw+fBg3b94kj89uF0RRhFarhdFoRE5ODnJycqBSqZCTkwOj0QitVpt2lmQ8TExM4ObNmzh8+PCG31Gq6kgWiwWBQCBmhEWq4Jzj2rVraGpqIh+3sXv3bsU1f/7zn/NAIPA655wus0uIB440AWCFUIRqAAAgAElEQVR+fv5Pv/SlLyn2DpaVlWFxcZF07K3JZEJWVhZ58oYxhra2NoyPjyctIZdMPCwjIwOHDx/G6uoqrl69+kDVUj6okCQJV65cgd1ux+HDhzct0UmFOO12O8bHx9HW1kZKbECEjA0GA6mAiN/vx9LSEkpLSxWPP/XUU8vz8/NfJtuQGA8kaXLOr1sslkuvv/66orW5HeMmGhsbMTY2Rp6RVqvVOHDgAK5cuZIw0W8lgSCKItra2mA0Gn8t97bNiMrImUwmtLW1JWwVb4U4/X4/rly5ggMHDpBKyQGR5M/Y2FhKosVKiI7bUCL4X/ziF9xisfRyzmNHNqQJHkjSBID5+flPfupTn1pW6topKSnBysoKaX1gtMZyaGiIbM0o9Ho9mpqacOnSpU3LcVLJuDLGUFVV9ZaXe9sucB4rI5es5ZcMcYbDYVy6dAlNTU1kVRjrce3aNfJaT5/Ph5WVFcVyKFmW8alPfWp5fn7+k2QbbgMeWNLknI+vrq6++uMf/1hRa7Ourg6jo6Oke5aUlCAcDsNms5GuC0RGWVRWVqKvry8ukVGVqETl3pxOJ3p7e9Oi+PxBh8/nQ29vL5xOZ9IycvciEeLknKOvrw+VlZXkIzGAiP6mJEnktZ43btxAXV2d4sPkxRdflOx2+ys8TdSM4uGBJU0AsNlsn//CF76wGgqFYo4VFRXB4/GQu6EtLS0YGRmB0p6pory8HCaTSVFcmLqmTxRFtLa2oqqqCj09PZiYmPi11bkFcM4xMTGBnp4eVFVVobW1lSRJtRFx8jsdPyaTCeXlsVMbU0UwGMTIyAhaWlpI13U4HPB6vSgqKoo5FgqF8IUvfGHVZrM9SbrpNuCBJk3Ouc3r9f7ge9/7XkwzP2MMe/bswfDwMOmeWq0WdXV1GBwcJF03irq6OoiiGJ28B2B7xTfMZjOOHTsGv9+P8+fPkw6Xe7PD4XDg/Pnz8Pv9OHbsGKkwBqBMnJxHxlaIooi6ujrS/aIYHBxEXV0deVPEyMgI9uzZo2hlfve73w14vd5/4JzTu3HEeKA6gpTAGDOWlJTcunXrlllJcKGvrw/l5eXkF3RfXx8KCwtRVlZGui4QuTEGBgag1+tRXFy8Y+IbTqcTg4ODMBgMqKurIxWtTRXxOoLuB3w+H27evAmXy7UjPf7rH5rRRoDtyJQDkWy5zWbD/v37SdddWFjAzMyM4roejwd1dXULVqu1lnOe9hnKB9rSBADOudPr9X7j6aef9iod365xEy0tLRgbG4PXq7htSoiWIq2urqKrq2tHCBOIWDZHjx6F2WxGT0/PfetfT1dE+8Z7e3thNptx9OjRHfte9u/fj66uLqyurm4bYXq9XoyNjZG75bIsbzjU7emnn/b6fL5nHgTCBN4EpAkAdrv9m88++6x9ZSV2lFBmZiaKiorIx01EWyH7+vq2ZfSDy+WC1+uFyWQiGx6XCKID6x5++GEYDAZcuHABN2/efEuTZzAYxM2bN3HhwoU1daTi4uJtIS4lcM4xNzcHk8kEr9cbV6U/FciyjL6+PrS0tJC3YE5MTKC4uFhRem95eRnPPfecfXV19Vukm24j3hSkyTkPuN3u//XUU08pPqm2a9xEbm4uiouL74o/UiDqjh04cAAdHR3weDwYHh7e0URNdDrnQw89BLVaja6uLgwODqa1TiY13G43BgcH0dXVBbVajYceeihm+uJ2IxrD9Hg86OjowIEDB1Keq66E4eFhFBcXk2t7Rjve4vWYP/XUU0632/3/8jQSGd4MD3xMMwrGmFhYWHjr0qVLVUoZRZvNhpmZGRw4cIB0X845ent7UV5eTlKeoZT04ZxjaGgIkiShtbV1R2/aKDjnsNlsGB8fh0qlQnV1NfLz83fsXHYqpsk5x9LSEiYmJhAOh7F7924UFhbet8/86tWrEEXxrjZG6sSg1WrFzMwMDh06RP4+L1++jPLychQWFsYcm56exqFDhyZsNlsd5/yBaVN7U1iaAMA5l1ZXVz/z+c9/XrEfsbCwcO3GpwRjDO3t7bh582bKT/94N0O0/12n06G3t3dH9CjvBWMMRUVFOHr0KOrr62G1WnH69GkMDw+/KbqLnE4nhoeHcfr0aVitVtTX1+Po0aMoKiq6L4QZDofR29sLnU4X0/dN0asehdPpxM2bN9He3k7+Pufn58E5VyRMAPj85z9vX15e/vSDRJgAHjyVo41+ALDCwsKB3t5ergSfz8dPnjzJlQa0pQqn08lPnTrFA4HAlv4+UaWb6elpfvbsWVIlp60iHA7z2dlZfvHiRX7mzBk+OjrK7Xb7tgxZox6sJssyt9vtfHR0lJ85c4ZfvHiRz87OpoV6ks/n42fPnt10uF+q6kiBQICfOnVqW4a6BYNBfvLkybjXaU9PDy8sLBzAHW/3Qfp507jnUTDGanfv3t01NDSUr1RnNj09jdXVVTLNzfWYn5/HxMQEOjs7IQiJG/HJuluLi4sYHh7Gvn37SIUUUkEgEIDNZsPCwgJcLhdMJhMKCwuRn59P0oZH4Z4Hg0EsLS3BZrPBbrfDYDDAbDajsLBwW4apbQV2ux1XrlxBU1NTQp0+W3XVZVnGxYsXUV1drVhsniquXr2KnJwcVFRUxBzz+/1oampaGh8fP8w5HyPffJvxpiNNAMjNzf3CRz/60T/5xje+EaO8yznHxYsXUVtbuy3tZ2NjY3C73QnHHrd60Xs8Hly+fBm7d+/ellrRVCDLMux2O2w2G5aXlxEOh9eUcnJycpCdnZ1010yypBkVOV5dXYXdbofL5YJKpUJeXh4KCwthMpmSerDtBCwWC8bHx3HgwIGkesmTvYY457hy5QoMBgPpvJ8olpaWcOvWLXR2direA5/5zGdcP/zhD/98eXn5q+Sb7wDelKTJGBPMZvPASy+91HLo0KGY4z6fDz09PeQjAYDIBTk4OAidTrdpx0aqAf1wOIyBgQFkZGRg7969aasxKcsyXC4X7HY7VldX4XQ6Icsy1Gr1muK6TqeDRqNZU2zXaDRQqVRrN12UNDnnCIfDCAaDawruwWAQPp8PHo8HHo8HoVAIgiDcpceZlZWVdiQZhSRJGB4eRiAQQFtb25bUipK5lkZHR+H3+9HS0kIex4yOcuno6FBsjujp6cGjjz56dWFhoZ1zTl+rtwN4U5ImADDGanbv3t0dz023WCxYWFhAe3s7+d6yLOPSpUsoKSmJ2xtMlQHld3qfrVYr2tvbt0XtZrsQCoXWiM7r9a4R4Pr/RuFyudZGdkSJdf1/MzMz1wg4HeYBJQqPx4P+/n6UlJSguro6JRJL5JqamZmB1WrFwYMHt+UhslGnnN/vx969e5cmJiYeSLd8Dfc7qLqdP7m5uf/Ppz71qbhR7kuXLnGLxRLvcEoIhUL83LlzfG5uLuYY1XiD9VhZWeGnTp3i09PT25KIud+gTgTdb8iyzKenp/mpU6f4ysoK2bobXVtWq5WfO3eOh0Ihsv3Ww2Kx8EuXLsU9/slPftKZm5v7JE8Dbkjl576fwLa+OUAwm81Xu7u7Fb/EQCDAT548yT0ej+LxVBEIBPjp06f54uLi2mvbQZhRBINB3t/fz3t7e7ecxU9XvJlIMxAI8N7eXt7f378tlRxK19jCwgI/c+bMtl0XHo+Hnzx5Mu763d3d3Gw2XwEg8DTghlR+3rTueRSMsZrq6uru4eFhRTd9eXkZ169fx5EjR7bFXfH7/bh48SJaWlqgUql2RHzDarVidHQU9fX15HqI9wvpJNixVXAeaYfcie9mvaseDocxODiIzs7ObRnnLMsyurq60NjYiLy8vJjjPp8Pe/fuXZ6cnOzgnNMN8LpPSM/IOCE452N2u/3rTz75pGLDbjSbSt0KGYVWq0VHRwcGBgbQ09OzI+IbJSUlOHr0KObn538tMpwm8Pl8uHTpEubn53H06NFtf5hFC+B7enowMDCAjo6ObSFMICL5VlhYqEiYAPDkk0+67Hb7V98MhAm8BUgTAFZWVp5+8cUXJy5evKh4vKamBm63e9uEMaIJDUEQdqybR6PRoL29HZWVlejp6cGtW7e2RVjk19gYsizj1q1b6OnpQWVlJdrb20nHR2yEcDi85j1th2g2gDWpunilS93d3fjxj388vrq6+sy2nMB9wFuCNDnn8sLCwmNPPPHEspLVFW2FHB0dJRekiLpJBw8exJEjRzA4OIilpSXSPTaC2WzG8ePHwTnH2bNn11rbfo3tBecc8/PzOHv2LDjnOH78OLmm60ZYWlrC4OAgjhw5goMHD26LyIfb7cbo6GhcqTqfz4cPfehDSwsLC4/xB7S8SAlvCdIEIjOFHA7HX/7RH/2R4pWj0WjQ1taGvr4+sqfyvSUgOp0OnZ2dGBkZwfz8PMkeiSCq8t3R0QGr1Yru7u6kRwb/GonDbrejq6sLVqsVHR0da2r8O4W5uTmMjIygs7MTOp2OtFc9ilAohL6+PrS1tcW1nP/wD//Q6XA4/j+e5jN/ksb9zkTt5A8AZjabX3r22Wf9PA4sFgu/ePFiymU7G2XJA4EAP3fu3Ka9xdsFu93Ou7q6eE9Pz7Zk8bcDD0L23OFw8J6eHt7d3c3tdvt9OYfp6Wl+7tw5xaw8VeWGLMv84sWLG5brffvb3/aZzeb/wAPYW77Zz5s+e34vGGM6s9nc9+Mf/7jh4YcfVqwkjiaF9uzZs6U9EikyDofDuHz5MnJzc+POgN5urKys4MaNG1Cr1aitrU2bPnYlpHP23G6349atWwiFQmhoaCDXpEwEnHPcvHkTq6urG85Ap2iqGBkZAWMsrhL7mTNn+Ac/+MEbi4uL7Zxz/5Y2SWO85UgTABhjpcXFxZe7u7uLdu3aFXOcc45Lly6hsLAQSsc3QjIXpSzLuHbtGjjnaGlpuW9tfisrK7h16xYkSUJNTQ0KCgruC4lvhHQjTc45FhcXMTY2BlEUUVtbe1/IEohcR1evXoUgCGhubt70OkqFOG/fvg2bzYaDBw8qXiNTU1M4cuTI/Nzc3H7OuTWpxR8QvCVJEwAYYx319fX/efny5bysrKyY45Ikobu7G3V1dQkH8LdyMXLOMT4+joX/v71zj27quvP9d1uWhG3Z1sOSLdsyGJsEbMIMNo+SKWXWTBsMSe6sSVLGIZnpvb13dYWGmXQBN01opmky6aShpL2ZlZD0j6ys3FUuj1uaO8MEMmSWISGATcAmBmMKNjaWZdl6y3rrSOd3/9AjhvqNLclmf9bay9LR0Tn7yGd/z35+fxYLVq1albKR1dEYHh7GzZs34XK5UFFRAYPBkDFLEjNFNAVBgNFoRF9fH5RKJRYvXpySOEFjEQ6HceHCBeh0OlRVVU36YTede9ViseD69etYt27dqH20Xq8X9fX19uvXr28movNTupA5xD0rmgCgUqn++9q1a/ceO3ZMOdrTORQK4dy5c1i5ciUKCwvHPdbdNnsGBwdx7do11NXVpbUQArGC2NfXh/7+fhQUFGDhwoVQq9VprX2mUzSJCA6HA7du3cLw8DDKy8tRUVGR1gccELvnWltbsXTp0mnZu03lnnW73Whra8O6detGtdETRRGbNm1ytbS07HC5XB9MOTNziXR3qqY76XS6d3fv3u2hMfB4PNTU1ERer3esXWasgz1hZGwyme7qODOFKIpks9motbWVmpqaqKOjI20DR6keCBJFkdxuN3V0dFBTUxO1traSzWbLmHX9JpNpRgyEJ3Pver1eampqIo9nzGJCL774olen0+2jDCjTs53u6ZomEIstpNPpPn/77bfXfPe73x219zxhDDvaMrSZjtciCAJaW1uRm5uL2trajLEzi0QisFgs6O/vh9/vh1arhV6vh0qlSkkNNBU1TSKC0+mE2WyG1WpFbm4uysvLodPppmXXNhuIooiOjg74/X7U1dXNSPfJePdwYhnweIbXhw8fFrZv337earVuoLkWumIa3POiCQCMsUKdTnfpxIkTi8ZydLfZbOjo6MC6deuSzbKZFswEFO/nNJvNqK+vHzX0aTqJRCKwWq0YHBxMOqBrtVpotdpZy+tsiabf74fVaoXVak06zpeUlECr1WaMUCbw+/24ePEi9Hr9lPovJ8No93I4HMa5c+dQW1s7pmH3pUuXsHHjxl6LxfKnROSesQxlMFw04zDG7jMYDF9cuHBBO9bAz+DgYNKROhAIzLr5hsPhQHt7O6qrqzPOnT0BEcHj8cBiscBmsyEQCCA/Px9qtRpKpRIFBQUzIj4zIZqRSATDw8NwuVxwOBzweDzIyclBUVERdDod8vPzM27WQIL+/n50dXVhxYoVszZKP1I4c3JykhEOxuovjQ9eWo1G458R0Y1ZyVQGwkVzBAsWLGiora3df+bMGfVY5gYJlxpRFLFq1apZH7QRBAHt7e0AgBUrVmTMaPZYJETU4XDA5XIlXdoVCgUUCgXy8/ORl5eH3NxcSKXSSYvUZEWTiCAIAvx+P3w+HzweD7xeL7xeb9LNXalUQq1WZ7RIJgiHw2hvb09OJ5rt///w8DAuXLiArKws3H///dDr9aPuFwgE8M1vftPR0dGxNRgM/sesZirDyKz2R5oJBoOfqNXqnzY0NPzTiRMnVKONjubl5SEcDkMmk41q5z/TSKVS1NfXw2Qy4YsvvkBNTc2YIVEzAcYYCgoKbnuYiKIIn88Hr9ebrJUmnNqBr53Y5XI5srOzIZVKkZ2djaysLDDGkJWVlRzRJyKIoohIJAJBEBCJRBAKhW5zeh/p5F5YWIiysjLk5eVlTP/wZBkaGsLVq1dx3333oaysLCXnzMnJSf7eY0UBCIVCaGhocPb09PzjvSaYAK9pjopGo9lVX1//k48//lg58sk+svni8/nQ1dWFtWvXpmzqSTAYRHt7OyQSCR544IG0T3mZCYgoKXyhUAiRSCQpiKIoJkcsu7u7UV1dnRTRhLBmZ2dDLpcnBTfTa46TIRQK4cqVK4hGo1ixYsWsWbrdSTgcRktLC6qrq5GXlzdq95MgCNi8ebOrra3tNZvNNm+ci6ZEuofvMzUVFRW99MgjjzgTcbBHm5phNpvp1KlTKY9BbjKZqKmpad6GthiNubD2/G5JhMBoampK+bSzQCBAp06dui08y533vCAI9PDDD7uKiop+QhlQRtOV5lZ7JYVYrdbXWlpa3mtsbHS7XK5Rn7olJSWora1Fc3MzfD5fyvKWMBl2Op04e/bsjFt+cVLP8PAwzp49C6fTmRKT4pH4fD40Nzdj+fLltw36jHRHcrlcaGxsdLe0tLxjtVp/nrLMZSC8eT4BxcXFb61evfqHv/3tb7PHmqfmcrnQ1taGurq6CVcOzTQulwtXrlxBYWEh7r///nnRZB+NTFlGOdOEw2H84Q9/gNvtxvLly1NumuJ2u9Ha2oqVK1eOeW6Xy4Wnn35a+PLLL/cNDQ39KKUZzEC4aE4AY4zpdLr/tWHDhu8dOHCgcCxfRK/XiwsXLqCmpialZrNArIslMSXFYDCgsrIyY2OgT5f5JprRaBQ9PT0wGo1YsmQJysrKUt4fa7FYcPXqVaxatQqj+S8AsWlajY2N7s8///wDq9W6g7hgcNGcLFqt9p/XrVu37ciRI8qxpn2EQiF8+eWXMBgMU3ZHmgmi0Shu3rwJk8mExYsXo7y8fM6NGI/FfBFNURRhNBpx8+ZNlJeXY/HixWl5wN26dQtGoxGrV68edS05EBv0eeyxx1zNzc37rFbrT1KcxYyFi+YU0Gq1L61cuXLn0aNHlWPdaNFoFBcvXoRCocCyZcvSMpobDofR1dUFi8WCqqoqlJeXz/lR5bkumonWQHd3N3Q6Haqrq9PSlUJE6OzshM/nQ11d3ZiCHQqF8Mgjj7guXbq0917vw7wTLppTpKioaOfy5ctf+uSTT5RjTQUhIly7dg3Dw8Mztj54OoRCIXR1dcFqtWLRokUwGAxzttk+V0UzGo3CaDSit7cXWq0W1dXVY9bsZpuEr0FBQQGWLl065oM0EAigoaHB2dHR8fN7dlrROHDRnAZqtfrZysrKV48fP64er//SZDKhq6sL9fX1Y/YZpYJwOIyenh4MDAygvLwcCxcunHMDRnNNNMPhMG7duoX+/n6UlpaisrIyrb95os890X86FhaLBQ0NDc7e3t6XHA7HvhRmce6Q7jlPM50AGACcBNAJoAPAc/HtvwRwDUA7gI8AKOPbFwEIALgUT++NONafA7gAYM+d55HL5Q0Gg8HS1tZG4+FyuejkyZM0MDAw7n6pQBAE6u7uppMnT1JbW1va4thMh7kyT9PlclFbWxudPHmSuru7SRCEdGeJBgYG6OTJkxP+v9va2shgMFjkcvlGur1MLQBwHsBX8TL1Snz7dgBdAAhAEd1ebtwjytRPR3zWCKAVwI/oLst6ulLaMzDjFwToAdTFX+cDuA6gBsBDALLj298A8AZ9LZpXxjjWIQA5AN4EsHSUz5fodLqew4cPj1syQqEQNTc30+XLlykajY63a0oQRZGGhoaoubmZTp8+Tbdu3cqIwj0emSyagiDQrVu36PTp09Tc3ExDQ0MZseggGo3S5cuXqbm5mUKh0Lj7Hjp0KKzT6XoALKE/vs8ZAEX8tRRAC4BvAFgZLz+9o4jmv995nPhn/w+ABMDBxDHnWpp3a8+JyAzAHH/tYYx1AigjohMjdmsG8MQkDpeF2FNUROzGufNcNxhjf7p9+/ZjbW1tf/Laa6/ljTZaLZPJsGbNGnR1deHs2bOoq6tLq90bYww6nQ46nQ6BQAB9fX04ffo0lEolDAYDNBrNnB84mm2ICHa7HUajES6XC6WlpUl3oEzA7/ejtbU1uQBjrP+nKIrYvXu394MPPvjKYrE8TKPYu1FM7bzxt9J4IiJqAzDVeyWxM2GUMjUnSLdqz2ZC7CnYB6Dgju1HATw9Yh8fgDYAnwFYP2K/jYg1Jd6c4DwSnU63b+PGjc7x3K2JiGw2GzU1NY0b/jQdiKJIVquV2traqKmpidrb28lut2dEjYkoM2qaoiiS3W6n9vZ2ampqora2NrJarRnzGyXo7++npqYmstls4+7n8XjooYcecup0un0AJDTBPY5YU9uLeCttxGe9+OOaph2x5vxxALUjPvtevKztHO98mZzm7UAQY0yBmAj+nIh+P2L7TwCsAvAYERFjTI5YM8HOGKtHrPlQS0RTXpuoVCr/W0lJyS8/+eQTzaJFi8bcL9V2X1NFFEVYrVaYTCa43W6oVKqkMW+6Rt/TNRAUjUaThstOpzPpmqTVajNuDmzCRpAoFt10vIGn3t5ebNy40TE0NLRrKjF9GGNKxMYE/p6IrsS39QJYRUS2+PsCACIReRljmwG8RURL7uLSMop5KZqMMSmAfwfwH0T0qxHbvwfgGQB/SUT+Mb57CsAuIrowzXOv0ev1/3rgwIHiseKqJ0is4lm+fPmYztjpRhRFOJ1ODA4Owmq1QiaTJV3aCwsLU9aMT5VoEhHcbnfSzT0cDkOr1aKkpAQqlSrjhDKBzWbDlStXJmVYferUKdq6deuQ2Wz+K5pG1EjG2MsAfES0N/6+FyNEc5T9x/18rjHv+jRZrBS/D6DzDsFsAPBjABtGCiZjTAvAQURRxthiAEsA3Jzu+YnoPGNs1ZYtWz792c9+tnjbtm1jTsorLy+HWq3GV199BZPJhJqamoyrdWZlZUGj0UCj0QCIzeGzWq3o7u7G8PAwcnJyoFark07tmRYiYiIikUjSyd3hcCAQCKCgoABarRYrV67MmD7KsRAEAVevXoXf78fatWsnzO8777wTfOWVV3qsVuu3aZJxyeNlRCAiF2MsB8C3ERtMHWv/EgBD8ZbcGsTGBuyTvqgMZ97VNBlj3wRwGsBlxAZwAGA3gH8BIMfX/7xmInqGMfY4gFcBRABEAbxMREdnIB85Op3u8ObNm7+1b9++gvFuZiKC0WhEd3d3xpsM34nf708KjtvtRjQahUKhQGFhIQoKCqBQKJCbm3vXNdK7rWkSEfx+P7xeL4aHh+F2u+H1eiGRSFBYWJgU/kyLxzQeg4OD6OzsRFVVFQwGw7i/cSAQwA9/+MPhY8eOfWaxWP6GiAKTPQ9jbAWADxHr18wCcJiIXmWM/QOA5wGUALAAOEZE/4Mxth3ANsTKVADADiI6O+0LzTDmnWhmEowxplardxQWFr6wf//+onXr1o27fzAYxOXLl8EYQ21tbcbXckZDFEV4vV643W54PB54PB4EArHymZOTg9zc3ORfuVwOmUyGBQsWTGggPJ5oEsWMjIPBIMLhMEKhEPx+PwKBQPJv4vz5+fnIz89HYWEhFApFxja3xyMQCKCjowNEhAceeGBCk+Jz587hqaeesrnd7l84HI5fES/0dwUXzRTAGKvS6XRHtmzZsnjPnj35E4nh0NAQOjs7k4YOc7Fg34koiggGg7eJWULgQqFQMlRFAsZY0qWdMQan0wmlUnmbm/tIpFJp0sFdJpPdJs4LFiyYN79hd3c3TCYTli1bNmGLJBAI4Pnnn/ccPnz4psVieZyIulOU1XkNF80UwRjLUqlUO1Uq1fP79+8v+sY3vjHu/tFoFF1dXRgcHMSyZctSbjeXbogoKZCiKOLMmTNYv379bUJ6L5GwcdPr9aiurp5wFkNzczOeeuopm9Pp3ON0Ot8kInHcL3AmDRfNFJOodTY2Ni5+44038idqWvn9fnR2diIcDqO2tnbWo19mKnNt7flMMTw8jI6ODshkMixbtmzCPtdgMIjnn3/ec+jQIV67nCW4aKYBxliWWq3epVQq/+eBAweK1qxZM+F3nE4nrl69itzcXCxdunRO9nfeDfeaaAYCAVy7dg1+vx81NTVQqVQTfqelpQVbt261uVyuXzocjr28djk7cNFMI4yxap1Od2Tr1q2Vr7/++oS1TiLC4OAgrl+/DrVajSVLlqQsUmG6uVdEMxgM4saNG3A4HLjvvvtQUlIyYVdEMBjECy+84Okl7aoAAAqASURBVDlw4EBPvHbZlaLs3pNw0Uwz8Vrnj1Uq1Y4DBw4UrV69esLvEBEGBgZw48YNFBUVobq6et6L53wXzWAwiK6uLthsNixZsgSlpaWT6rc9f/48nnzySXu8dvlLXrucfbhoZgiMsSXFxcWHN2zYsGjv3r1Kg8Ew4XeICCaTCd3d3VAqlcl41fOR+SqaXq8X3d3dcLlcqKqqmnSsIKPRiF27drk+++yz3qGhoS1EdCMF2eWAi2ZGwRhj2dnZD2s0mn954oknNK+88kpBYiXOeBARhoaG0NXVBblcjurq6kn1gc0l5ptoOp1OdHV1IRwOo6qqCsXFxZMSS7vdjpdffnn4d7/7nd1ut/9DJBL5mM+7TC1cNDMQxpgkLy/v7xQKxWvbtm1T7tq1K3eyNUiHw4Hu7m4Eg0EsWrQIpaWlczbExUjmg2hGo1EMDAygt7cXCxYsQFVVFdRq9aS+6/P5sHfvXv+7777r8nq9L/l8vv9NRNFZzjJnFLhoZjCMMblKpXouJydn5+7duwt/8IMfyCe7Nj0QCKC3txeDg4MoKSlBRUXFnG66z2XR9Pl86OvrS/4vFi1aNOnZD4Ig4De/+U3o9ddfdwcCgTedTudbRBSa5SxzxoGL5hyAMVag1Wp/mpub+71f/OIXqi1btkgmu8IlGo3CbDajr68PRISKigro9fo5Z6wx10QzEolgYGAARqMRjLHk7z7ZWr8oijh06FD0xRdfdPj9/g+tVuurROSZ5WxzJgEXzTkEY6y4uLh4j0ql2vzWW29pHnrooSkti/H7/ejr64PZbEZBQQHKy8sz0hdyNOaCaCZ8SPv7+zE8PAy9Xo+Kioopm4CcOHGCnnvuObvT6Tw2NDT0PBENzVKWOdOAi+YchDG2uKSk5O2ysrLVr776qqahoYFNRfiICE6nEyaTCTabDSqVCnq9HkVFRRnb/5mpohmNRmGz2WA2m+F0OlFUVISysjKoVKopLfUURRHHjx+nl19+2W4ymc4PDg7+PRFN26KQM3tw0ZzDMMaWlZSU/FQul397x44dBd///vdlUw0VTBSLdWM2m2Gz2aBQKFBSUoLi4uKMCvObSaIZCoVgsVgwODgIr9eLoqIi6PX6acVW8nq9eP/998O//vWvh0Oh0H8ODg6+SkSds5R1zgzARXMewBhTqVSq7TKZbNvjjz+et2vXroLKysopH4eI4PF4YDabYbVaIYoiNBoNdDod1Gp1Wmuh6RTNaDQKu90Oq9UKu92OrKwsaLVa6PV65OfnT8s8pKenB3v27Bn+6KOPfOFw+F2n0/k2ETlnIfucGYaL5jyCMZYtk8n+WqPR/GNlZWXJzp07NY8++mjWdN3gBUG4TSyys7OhUqmg0WigVqtTWhNNpWiGw2E4HA7Y7XY4nU5EIhFoNBpotVpoNJppu+sLgoCjR4+Kb775pr2np2fQbrf/Uzgc/oiIIjN8CZxZhIvmPIUxtqy4uHhHVlbWf3nyySdznn322fzFixff1TETYpJIkUgEeXl5KCwshFKpRGFhIeTyMaN73BWzJZqhUAhutxsulwtutxs+nw/Z2dlJJ/eZeDh0d3fjnXfe8Rw8eDAgiuK/Dg0N/YqIrs3QJXBSDBfNeQ5jTC6VSv+6qKjox2VlZWXPPPOM+tFHH5XMhD8nESVd2hMpHA5DIpEgPz8fCoUCeXl5yM3NRW5u7l3FP7ob0RQEAX6/H36/Hz6fD16vFx6PB9FoFDKZDIWFhcmkUChmxKvTYrHg6NGj0ffee89hMpn6bTbbHkEQPuJzLOc+XDTvIRhjVUqlcmtOTk6jSqXSNjY2Kh577LGcmpqaGTX1FQQBXq8XXq8XPp8v6daecGeXSqVYsGABZDJZ0mk9Ozs7mSQSCbKyspJmw1lZWWhubsaaNWuSpsSiKCIajSISiSRTwgk+HA4jGAzedr6Ei3teXh4UCgUUCsWMBrEjIly9ehVHjhwJHDp0yOt0Oq2BQOCgy+X6P9zTcn7BRfMehTFWJJPJHtHpdP8VQM2mTZukjY2NyvXr189qREwigiAIyTAXiVAXI8UvEonc5tpORLBardDpdLcJ6Uihzc7Ovi3khVwuh1QqnVWHd0EQcPr0aRw8eNB1/PhxAcBVi8XyQTgc/ni+hKvl/DFcNDlgjMkB/HlpaenfRaPRv6irq8t++umnNZs2bWKZYvyRKVOOnE4njh07Rvv377e3trZGJBJJ08DAwIcAPuNN73sDLpqc24jHjf8TjUbTKJVKn9Dr9QXf+c53ch588EFFfX39pK3LZpp0iGbCeu/ixYs4e/as99NPPw2YzebhSCTyf2022yEAX3GHoXuPubUAmTPrxEXgUjy9wBjTt7W1rdXpdBukUul6URTLFy5cyNavX5/z4IMP5tfX16O8vHzOBzpLxJ6PC6Tn9OnTgVu3bpFEIjGGw+EvrFbrZwBaiMic7rxy0guvaXKmRLwmWgagXqvVrpfL5d+KRqMVBoPhNiGtqKiYUSGdyZomEaGvrw8XL17EmTNnPF988UXAaDSSRCLpC4VCn1ut1s8BXAQwwGuSnDvhosmZERhjpYgJ6bdkMtn6aDRaKpVKpbm5uRK9Xk8VFRWSysrKHIPBkFNaWsr0ej1KS0tRVFQ0KcOQyYhmwjDDbDbDbDZjYGCAjEZjoKenJ9DX1xc1m83M5/OJkUgkLJFIBkKh0GmbzfY5gItENDAjPwRn3sNFkzOrMMYWANAnklwuL1epVNVSqXSRKIpl0WhUI5FIZDk5ORK1Wk0ymQxSqZSkUimTSqXIzs5mUqmU+Xw+hUwm80QiERIEAYIgkCAILD7hngWDwUgkEhEkEok9KyvLJAhCr9Pp7AqFQv0AzAAGAAwSUTCdvwdn7sNFk5MRMMZkANSI9bPfmRJzoAQAkVGSg4jCqc4z596EiyaHw+FMgcx3n+VwOJwMgosmh8PhTAEumhwOhzMFuGhyOBzOFOCiyeFwOFOAiyaHw+FMAS6aHA6HMwW4aHLSBmPMwBg7yRjrZIx1MMaei28/xBi7FE+9jLFLI77zImOsizH2B8bYxhHbGxljrYyxH6XjWjj3DtzliJNOIgB2ElErYywfwEXG2KdE9DeJHRhjbwJwx1/XAGgEUAugFMB/MsbuI6JofPtqAPsZYwoi8qb6Yjj3BrymyUkbRGQmotb4aw+ATsQclAAkHZW2ADgQ3/RXAA4SUYiIegB0AViT2D1x2BGvOZwZh4smJyNgjC0CsBJAy4jN6wEMEdGN+PsyAMYRn/fja5H9PYALAC7EBZjDmRV485yTdhhjCgBHAPyIiIZHfPQkvq5lAqPXIAkAiOhDAB/OWiY5nDhcNDlphTEmRUww9xPR70dszwbwGID6Ebv3AzCMeF+OmOUbh5MyePOckzbifZbvA+gkol/d8fG3AVwjov4R2/4NQCNjTM4YqwSwBMD51OSWw4nBa5qcdPJnAP4WwOUR04p2E9ExxEbDRzbNQUQdjLHDAK4iNvL+bHzknMNJGdxPk8PhcKYAb55zOBzOFOCiyeFwOFOAiyaHw+FMAS6aHA6HMwW4aHI4HM4U4KLJ4XA4U4CLJofD4UwBLpocDoczBf4/9vHUoG60/KEAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "hist, bin = np.histogram(df_ferrara['wind_deg'],8,[0,360])\n",
    "print(hist)\n",
    "showRoseWind(hist,'Ferrara', max(hist))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "def RoseWind_Speed(df_city):\n",
    "    # degs = [45, 90, ..., 360]\n",
    "    degs = np.arange(45,361,45)\n",
    "    tmp = []\n",
    "    for deg in degs:\n",
    "        # 获取 wind_deg 在指定范围的风速平均值数据\n",
    "        tmp.append(df_city[(df_city['wind_deg']>(deg-46)) & (df_city['wind_deg']<deg)]\n",
    "        ['wind_speed'].mean())\n",
    "    return np.array(tmp)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/chuck/Tools/anaconda3/lib/python3.6/site-packages/matplotlib/projections/polar.py:67: RuntimeWarning: invalid value encountered in less\n",
      "  mask = r < 0\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "showRoseWind(RoseWind_Speed(df_ravenna),'Ravenna',max(hist))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
